nvidia/Nemotron-RL-ARC-AGI-v1 · Data Studio

responses_create_params dict	train listlengths 2 5	test_input listlengths 1 30	expected_output listlengths 1 30	problem_id stringlengths 8 17	task_id stringlengths 8 17	variant stringclasses 1 value	difficulty float64 0 1	difficulty_bucket stringclasses 3 values	augmentation dict	original_problem dict	metadata dict	agent_ref dict	used_in listlengths 1 1
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 8, ...	[ [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 5, 5, 5, 5, 5, 5...	[ [ 1, 1, 1 ], [ 1, 1, 1 ], [ 1, 1, 1 ] ]	de809cff_995c5fa3	de809cff_995c5fa3	python_inductive	0.9583	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,...	{ "uuid": "7c6c5c86-05dd-4e61-b401-1dd708e860cc", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 1, 0, 0, 0 ], [ 0, 0, 1, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 6, 6, 6, 6, 6, 6 ], [ 6, 1, 1, 1, 1, 6 ], [ 6, 1, 1, 1, 1, 6 ], [ 6, 1, 1, 1, 1, 6 ], [ 6, 1, 1, 1, 1, 6 ], [ 6, 1, 1, 1, 1, 6 ], [ 6, 1, ...	d631b094_fc754716	d631b094_fc754716	python_inductive	0.9375	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "a0c51660-e75a-4fda-b5c5-1f07275d7fe0", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 8, 8, 8 ], [ 0, 0, 0, 0, 0, 8, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 6, 6, 6, 6, 6, 0, 0, 0 ], [ 0, 3, 6, 3, 0, 0, 6, 0, 3, 0 ], [ 0, 0, 6, 6, 6, 6, 6, 0, 0, 3 ], [ ...	[ [ 6 ], [ 3 ], [ 3 ] ]	89565ca0_cf98881b	89565ca0_cf98881b	python_inductive	0.9583	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 8, 8, 8 ], [ 0, 0...	{ "uuid": "e1ef24f9-625a-4c79-8a14-0be36e7892f3", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 7, 7, 5, 5, 3, 6, 9, 7, 4, 2, 4, 4, 9, 3, 3, 7, 7 ], [ 7, 4, 9, 3, 7, 7, 6, 2, ...	[ [ 3, 4, 8, 0, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ 3, 9, 6, 0, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ 4, 4, 3, 0, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ 4, 3, ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 3, 3, 3, 3 ] ]	25d8a9c8_c3202e5a	25d8a9c8_c3202e5a	python_inductive	0.9545	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 7, 7, 5, 5, 3, 6, 9, 7, 4, 2, 4, 4, 9, 3, 3, 7, 7 ], [ 7, 4, ...	{ "uuid": "740af56e-2634-48d1-95b9-c0c6b1523a76", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ...	[ [ 1, 1, 1, 4, 8, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 0, 0, 1, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 1, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 1, ...	[ [ 1, 1, 1, 4, 8, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 8, 7, 1, 4, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 6, 1, 4, 4, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 1, ...	e5062a87_137eaa0f	e5062a87_137eaa0f	python_inductive	0.9655	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...	{ "uuid": "4d61a144-495f-4ed4-8d1f-7dd7c47d1b78", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 1, 1, 1, 6, 4, 1, 1, 1, 6, 4, 1, 1, 1, 6, 4, 1, 1, 1, 6, 4, 1, 1, 1 ], [ 8, 8, ...	[ [ 1, 9, 2, 1, 9, 2, 1, 9, 2, 1, 9, 2, 1, 9, 2, 1, 9, 2, 1, 9, 2, 1, 9, 2, 1, 9, 2, 1 ], [ 9, 9, 9, 9, 9, 6, 9, 4, 6, 9, 4, 6, 9, 4, 6, 9...	[ [ 8, 0, 1 ], [ 0, 3, 3 ] ]	4c7dc4dd_705a3229	4c7dc4dd_705a3229	python_inductive	0.9444	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 1, 1, 1, 6, 4, 1, 1, 1, 6, 4, 1, 1, 1, 6, 4, 1, 1, 1, 6, 4, 1,...	{ "uuid": "04768116-2a4d-42df-92ff-82473d13e5ac", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0 ], [ 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 6, 0, 0 ], [ 0, 0, 0, 0, 0, 0 ], [ 0, 0, 3, 0, 6, 0 ], [ 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 6, 0, ...	f5b8619d_9caba7c3	f5b8619d_9caba7c3	python_inductive	0.9524	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0 ], [ 0, 0, 1, 2, ...	{ "uuid": "1dfb3a0a-3bdf-4e14-8d52-672fff118938", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 1, 1, 1, 1, 4 ], [ 1, 1, 1, 1, 4 ], [ 1, 1, 1, 1, 4 ], [ 1, 1, 1, 1, 4 ], [ ...	[ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 6, 3 ], [ 6, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 1, 1 ], [ 1, 1, 1, 1, 1, ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4...	b9e38dc0_2072aba6	b9e38dc0_2072aba6	python_inductive	0.9444	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 1, 1, 1, 1, 4 ], [ 1, 1, 1, 1, 4 ], [ 1, 1, 1, 1, 4 ], [ 1, ...	{ "uuid": "042681c9-1032-4a70-aaaf-864a31ff1174", "dataset_name": "nvarc_json", "llm_uri": "vllm-http://tavor-desktop02:4000/qwen3-235b-a22b-thinking-2507-fp8?enable_thinking=true&max_tokens=32768&api_key=sk-master", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	0934a4d8_3d6c6e23	0934a4d8_3d6c6e23	python_inductive	0.9524	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ...	{ "uuid": "1c75618e-1e91-49ab-b59d-a1738ec038e6", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	009d5c81_88a10436	009d5c81_88a10436	python_inductive	0.9667	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, ...	{ "uuid": "dae82167-0ca2-430c-b2c7-59f2240ca614", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], [ 6, ...	[ [ 0, 1, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 1, 7, 1, 3, 6, 6, 6, 6, 3, 3, 3, 3, 3 ], [ 0, 1, 0, 3, 6, 3, 6, 6, 3, 3, 3, 3, 3 ], [ 3, 3, ...	[ [ 9, 1, 9, 9, 1, 9, 9, 1, 9, 9, 1, 9 ], [ 1, 7, 1, 1, 7, 1, 1, 7, 1, 1, 7, 1 ], [ 9, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 9 ], [ 9, 1, 2, 3, 3, ...	bf45cf4b_84db8fc4	bf45cf4b_84db8fc4	python_inductive	0.9474	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], [ 6, 6, 6, 6, 6, 6, 6, 6, ...	{ "uuid": "6924d59a-2aca-4d3f-a689-10a139040f23", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7...	9aaea919_87ab05b8	9aaea919_87ab05b8	python_inductive	0.9474	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "fd5c4721-051b-44c1-a4e7-d7a2baebe30f", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0 ], [ 0, 0, 0, 9, 0, 0, 0, 0, 5, 8, 0, 0, 0, 0, 2, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 2 ], [ 0, 0, 2, 2, 0 ], [ 0, 2, 2, 2, 0 ], [ 0, 0, 2, 0, 0 ], [ 0, 0, 0, 0, 0 ] ]	247ef758_feca6190	247ef758_feca6190	python_inductive	0.9583	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, ...	{ "uuid": "f856047d-892a-4542-a177-00bd5b1430be", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...	[ [ 1, 1, 1, 1, 1, 6, 6, 1 ], [ 1, 1, 1, 1, 1, 6, 1, 1 ], [ 6, 6, 6, 6, 6, 6, 6, 1 ], [ 1, 1, 6, 6, 6, 6, 6, 6 ], [ 1, 1, 1, 1, 1, 6, 1, 6 ]...	1f85a75f_85b81ff1	1f85a75f_85b81ff1	python_inductive	0.9565	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 1, 1, 1, ...	{ "uuid": "0a0ccc4e-add3-4a22-bb6e-1601df392588", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, ...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, ...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, 4, 4, ...	7b80bb43_e76a88a6	7b80bb43_e76a88a6	python_inductive	0.9565	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 4, 4, 4, ...	{ "uuid": "f0016896-b203-4c86-98b5-0eb9bea8f5cd", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 1, 1, 1, 1, 3, 1, 5 ], [ 5, 1, 1, 1, 1, 1, 1, ...	[ [ 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 1, 3, 1, 1, 1, 1, 5 ], [ 5, 1, 1, 1, 1, 1, 1, 5 ], [ 5, 1, 1, 1, 1, 6, 1, 5 ], [ 5, 1, 1, 1, 1, 1, 1, 5 ]...	[ [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5 ], [ 5, 0, ...	eee78d87_ba1aa698	eee78d87_ba1aa698	python_inductive	0.9231	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 5, 5, 5, 5, 5, 5, 5, 5 ], [ 5, 1, 1, 1, 1, 3, 1, 5 ], [ 5, 1...	{ "uuid": "c1ffc7a5-adb8-4969-9e06-5a80dc82c2b7", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 8, 8, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 8, 8, 6, 6, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 8, 8, ...	[ [ 4, 4, 2, 2, 2, 2, 4, 4, 4, 4, 2, 2 ], [ 4, 4, 2, 2, 2, 2, 4, 4, 4, 4, 2, 2 ], [ 3, 3, 5, 5, 5, 5, 3, 3, 3, 3, 5, 5 ], [ 3, 3, 5, 5, 5, ...	f560132c_c48954c1	f560132c_c48954c1	python_inductive	0.9565	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3,...	{ "uuid": "4380ad00-e6b8-4b00-b265-b95c25eb7ba9", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	b60334d2_2c737e39	b60334d2_2c737e39	python_inductive	0.96	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, ...	{ "uuid": "2943b0f2-a4b0-4216-8dd4-c6a42c0d0516", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0 ], [ 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	68b67ca3_5207a7b5	68b67ca3_5207a7b5	python_inductive	0.9412	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0, 3, 0,...	{ "uuid": "46c91f8d-d47b-4d33-a3c0-0ba422eb9ab9", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, ...	[ [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 2, 7, 7, 7, 7 ], [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5...	[ [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 8, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7...	5dbc8537_d511f180	5dbc8537_d511f180	python_inductive	0.95	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ...	{ "uuid": "527bbb9b-346d-4734-9ac0-e9e817a81af1", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 5, 0 ], [ 0, 0, 5 ], [ 0, 8, 8 ] ], "output": [ [ 0, 0, 0, 0, 5, 0, 0, 0, 0 ], [ ...	[ [ 0, 0, 2, 5 ], [ 0, 0, 0, 5 ], [ 0, 0, 5, 5 ], [ 0, 0, 5, 5 ] ]	[ [ 5, 2, 2, 5, 0, 0, 0, 0, 0, 0, 0, 0, 5, 2, 2, 5 ], [ 5, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 5 ], [ 5, 5, 5, 5, 0, 0, 0, 0, 0, 0, ...	f25ffba3_ad7e01d0	f25ffba3_ad7e01d0	python_inductive	0.963	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 5, 0 ], [ 0, 0, 5 ], [ 0, 8, 8 ] ], "output": [ [ 0, 0, 0, 0, 5, ...	{ "uuid": "c5a03920-2c89-4859-9fb2-a0c4eb3a816b", "dataset_name": "nvarc_json", "llm_uri": "vllm-http://tavor-desktop02:4000/kimi-k2.5?enable_thinking=true&max_tokens=32768&api_key=sk-master", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_preserve_ba...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 4, 4, 4, 4, 4, 4, 4, 5, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], [ 0, 4, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 2, 2, 2, 2, 2, 2, 2, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 0, 2, ...	13e47133_3ee1011a	13e47133_3ee1011a	python_inductive	0.9333	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0,...	{ "uuid": "e71864e3-edfd-45a8-b20b-b3d72cb1a3e1", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 4, 4, 4, ...	[ [ 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0...	[ [ 5, 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0...	694f12f3_d2abd087	694f12f3_d2abd087	python_inductive	0.9412	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, ...	{ "uuid": "ba7b19c6-cbba-47fb-8aee-58baddca26cb", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 1, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 1, 2, 2, 2, 2, ...	[ [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 1, 5, 5, 2, 2, 2, 2, 2, 2 ], [ 1, 5, 5, 2, 2, 2, 2, 2, 2 ], [ 1, 2, 2, 2, ...	[ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 2, 2, 2, 2, 2, ...	221dfab4_0c786b71	221dfab4_0c786b71	python_inductive	0.9615	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 1, 2, 2, 2, 2, 2, 2, 2, 2 ], ...	{ "uuid": "f4750ec3-52d0-46f1-8679-9a6bf990e21c", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 2, 2, 2, 2, 2, 2, 0, 2, 0, 2 ], [ 2, ...	[ [ 8, 8, 8, 3, 8, 8, 8 ], [ 8, 8, 8, 8, 8, 8, 8 ], [ 6, 8, 8, 3, 6, 8, 8 ], [ 8, 8, 8, 8, 9, 8, 8 ], [ 8, 8, 8, 8, 8, 8, 8 ], [ 6, 8, 8, 8, ...	[ [ 8, 8, 8, 3, 8, 8, 8, 8, 3, 8, 8, 8 ], [ 8, 8, 8, 3, 8, 8, 8, 8, 3, 8, 8, 8 ], [ 6, 6, 6, 6, 6, 8, 8, 6, 6, 6, 6, 6 ], [ 6, 6, 6, 6, 6, ...	35ab12c3_539a4f51	35ab12c3_539a4f51	python_inductive	0.9688	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 2, 2, 2, 2, 2, 2, 0, ...	{ "uuid": "e80e878d-426f-42ce-9384-347b77269e36", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1...	[ [ 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 8, 8, 2, 4, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 7, 9, 6, 5...	c7f57c3e_ce602527	c7f57c3e_ce602527	python_inductive	0.9333	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0,...	{ "uuid": "46676dd9-7831-4cd6-ae1d-44db960a0f2f", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 6, 2, 0, 8, 0, 2, 0, 8, 0, 2, 0, 8, 0, 2, 0 ], [ 0, 0, 0, 8, 0, 0, 0, 8, 0, 0, ...	[ [ 0, 0, 8, 0, 0, 8, 0, 0 ], [ 0, 0, 8, 0, 0, 8, 0, 0 ], [ 0, 0, 8, 0, 0, 8, 0, 0 ], [ 0, 0, 8, 0, 0, 8, 0, 0 ], [ 0, 0, 8, 0, 0, 8, 0, 0 ]...	[ [ 0, 0, 8, 0, 0, 8, 0, 0 ], [ 0, 0, 8, 0, 0, 8, 0, 0 ], [ 0, 0, 8, 0, 0, 8, 0, 0 ], [ 0, 0, 8, 0, 0, 8, 0, 0 ], [ 0, 0, 8, 0, 0, 8, 0, 0 ]...	5545f144_8d510a79	5545f144_8d510a79	python_inductive	0.9286	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 6, 2, 0, 8, 0, 2, 0, 8, 0, 2, 0, 8, 0, 2, 0 ], [ 0, 0, 0, 8, ...	{ "uuid": "2791c608-44f9-40c2-a91d-a928c822aa89", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 6, 0, 0, 0, 0, 6, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0 ], [ 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 6 ], [ 0, 0, 0, 0, 0, 6, 6, 0, 0, 0, 0, 0, 6, 0, 0, 6, 6, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 6 ], [ 0, 0, 0, 0, 0, 6, 6, 0, 0, 0, 0, 0, 6, 0, 0, 6, 6, 0...	bcb3040b_84f2aca1	bcb3040b_84f2aca1	python_inductive	0.9643	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 6, 0, 0, 0, 0, 6, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0 ...	{ "uuid": "6b47a713-bc03-4588-b5cc-0793484a83e6", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 2, 7, 2, 7, 2, 7, 2, 7, 2, 7, 2, 7, 2, 7, 2, 7, 2, 7, 2, 7 ], [ 7, 2, 7, 2, 7, ...	[ [ 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 7, 2, 7, 2, 7 ], [ 7, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 0, 0, 0, 0, ...	4c7dc4dd_41e4d17e	4c7dc4dd_41e4d17e	python_inductive	0.963	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 2, 7, 2, 7, 2, 7, 2, 7, 2, 7, 2, 7, 2, 7, 2, 7, 2, 7, 2, 7 ], ...	{ "uuid": "c33e1cb4-16d0-41d6-a422-925d22b27150", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, ...	[ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8...	[ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8...	64efde09_9b5080bb	64efde09_9b5080bb	python_inductive	0.963	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,...	{ "uuid": "bfac9270-1398-445e-8c09-68f65ac733e4", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 8, 0, 0, 8, 0, 8, 0, 0, 8, 8, 0, 8, 8, 8, 8, 0, 0, 8, 0, 0, 0, 0, 0, 8, 8, ...	[ [ 0, 8, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 8, 0, 8, 8, 0, 0, 8, 0, 0, 0, 8, 8, 0 ], [ 0, 0, 0, 8, 8, 8, 8, 0, 0, 0, 0, 0, 0, 8, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 9, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0...	db695cfb_6a1e5592	db695cfb_6a1e5592	python_inductive	0.9615	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 8, 0, 0, 8, 0, 8, 0, 0, 8, 8, 0, 8, 8, 8, 8, 0, 0, 8, 0, 0,...	{ "uuid": "08bc59ff-d5b3-4dc9-b2a8-3134bcfe9d3b", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 1, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 7, 1, 1, 1, ...	[ [ 1, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 1, 1, 1, 1, 7 ], [ 1, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 1, 1, 1, 1, 7 ], [ 1, 1, 1, 1, 1, 1, 1, 4, 4, 4, ...	[ [ 7, 1, 1, 1, 1, 1, 1, 7, 7, 7, 7, 7, 7, 7 ], [ 7, 1, 1, 1, 1, 1, 1, 7, 7, 7, 7, 7, 7, 7 ], [ 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], ...	5961cc34_d017b73f	5961cc34_d017b73f	python_inductive	0.9667	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 1, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], ...	{ "uuid": "e81c43af-8ff8-43c8-9c4d-7caf53b6e755", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5...	[ [ 9, 9, 7, 3, 3, 3, 2, 8, 3, 1, 7, 2, 7, 2 ], [ 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3 ], [ 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9 ], ...	e3721c99_e99362f0	e3721c99_e99362f0	python_inductive	0.9474	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 1, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "95d4c32a-461c-4dd2-b40b-4cee6d607cdb", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], [ ...	[ [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9...	[ [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 2, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9...	a25697e4_94414823	a25697e4_94414823	python_inductive	0.9444	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,...	{ "uuid": "c5a1fd11-0c96-49ab-9b7b-670c2588647a", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 8 ], ...	[ [ 1, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7, 7 ], [ 2, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, ...	[ [ 1, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7, 1 ], [ 7, 7, 7, 7, 7, 1, 7 ], [ 7, 7, 7, 7, 1, 7, 7 ], [ 2, 7, 7, 1, 7, 7, 7 ], [ 7, 7, 1, 7, ...	db695cfb_a416b8f3	db695cfb_a416b8f3	python_inductive	0.9375	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 1, 1, 1, 1, 1, 1, ...	{ "uuid": "985bd7d0-24ff-4ce4-b529-fea63ef24f23", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 8, 8, 0, 5, 5, 0, 8, 8, 0, 0, 0 ], [ 8, 8, 0, 5, 5, 0, 8, 8, 0, 9, 9 ], [ 8, ...	[ [ 6, 6, 0, 0, 8, 8 ], [ 6, 6, 0, 0, 8, 8 ], [ 6, 6, 0, 0, 8, 8 ], [ 6, 6, 0, 0, 8, 8 ], [ 9, 9, 0, 0, 8, 8 ], [ 0, 0, 0, 8, 8, 8 ], [ 0, 0, ...	[ [ 4, 2, 2, 2, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 4 ], [ 2, 3, 3, 6, 6, 6, 6, 6, 2, 3, 3, 6, 6, 6, 6, 6, 2 ], [ 2, 6, 6, 6, 6, 6, 6, 6, ...	136b0064_412b6263	136b0064_412b6263	python_inductive	0.9615	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 8, 8, 0, 5, 5, 0, 8, 8, 0, 0, 0 ], [ 8, 8, 0, 5, 5, 0, 8, 8, ...	{ "uuid": "3db46fd1-8253-44a6-af0e-b1500b51be8c", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 5, 5, 5, 0, 0, 0, 0, 2 ], [ 0, 0, 0, 0, 5, 0, 5, 0, 0, 2, 2, 2 ], [ 0, 0, 0, 0, 5, 5, 5, 0, 0, 2, 2, 2 ], [ 0, 0, 0, 0, 0, ...	7ed72f31_f3e62deb	7ed72f31_f3e62deb	python_inductive	0.92	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	{ "uuid": "f2f5cb4d-b0d0-4c83-945e-ab63b3b2948c", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...	[ [ 1, 1, 1, 1, 1, 1, 3, 3, 1, 1, 1, 1, 7, 1 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 7, 1, 1 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 7, 7, 7 ], [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 7, 7, 7 ], [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 7, 7, 7 ], [ 3, 3, ...	65b59efc_9344f635	65b59efc_9344f635	python_inductive	0.9615	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], [ 1, 1, 1, 1, 1, 1, ...	{ "uuid": "1dac6a16-f2f8-4988-8e2d-e9062e0a77b3", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...	[ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6...	[ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6...	4c416de3_c61be7dc	4c416de3_c61be7dc	python_inductive	0.9286	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,...	{ "uuid": "31e8bed3-b9dd-464a-a450-632e91006f17", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 9, 9, 9, 0, 0, 0 ], [ 0, 0, 0, 0, 9, 2, 9, 0, 0, 0 ], [ 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, ...	[ [ 3, 2, 4, 3, 2, 4, 3, 2, 4, 3, 2, 4, 3, 2, 4, 3, 2, 4, 3 ], [ 2, 4, 3, 2, 4, 3, 2, 4, 3, 2, 4, 3, 2, 4, 3, 2, 4, 3, 2 ], [ 4, 3, 2, 4, ...	e12f9a14_05269061	e12f9a14_05269061	python_inductive	0.95	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 9, 9, 9, 0, 0, 0 ], [ 0, 0, 0, 0, 9, 2, 9, 0, 0, ...	{ "uuid": "624b8dbb-0de0-4bbf-a335-b1a3ea844d03", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 7, 3, 9, 6 ], [ 6, 1, 3, 3 ], [ 3, 4, 3, 2 ], [ 7, 0, 5, 7 ] ], "output": [ [ 7, 3, ...	[ [ 1, 6, 9, 3 ], [ 8, 1, 1, 7 ], [ 7, 4, 7, 5 ], [ 3, 1, 2, 3 ] ]	[ [ 1, 6, 9, 3, 3, 7, 8, 1 ], [ 8, 1, 1, 7, 1, 7, 1, 6 ], [ 7, 6, 7, 5, 2, 7, 1, 9 ], [ 3, 1, 2, 3, 3, 5, 7, 3 ], [ 3, 2, 1, 3, 3, 7, 5, 3 ]...	ed98d772_c9f8e694	ed98d772_c9f8e694	python_inductive	0.96	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 7, 3, 9, 6 ], [ 6, 1, 3, 3 ], [ 3, 4, 3, 2 ], [ 7, 0, 5, 7 ...	{ "uuid": "0da8d533-9779-4516-a5b8-c70943a66871", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 4, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 9, 0, 8, 0, 0, 0, 0, 2, 0, 0 ], [ 0, 0, 8, 6, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 6, 6, 7, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 4, 0, 0, 0, 0, 0, 0 ], [ ...	[ [ 9, 0, 0, 0, 0, 0, 0, 2, 0, 0 ], [ 0, 0, 0, 6, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 6, 6, 7, 0, 0, 0, 0, 0 ], [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], [ ...	faa9f03d_c1d99e64	faa9f03d_c1d99e64	python_inductive	0.9583	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 4, 0, ...	{ "uuid": "9081d550-08ad-426f-a1eb-de73218d85cb", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8, 8, 8, 8, 8, ...	[ [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], [ 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7 ], ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], ...	e376de54_9b365c51	e376de54_9b365c51	python_inductive	0.9524	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 8, 8, ...	{ "uuid": "593a211c-f4fc-4527-98a1-1644e303eacf", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 6 ], [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...	[ [ 1, 1, 1 ], [ 1, 1, 1 ], [ 1, 1, 1 ], [ 1, 1, 9 ], [ 1, 1, 1 ], [ 1, 1, 1 ], [ 4, 1, 1 ], [ 5, 1, 1 ], [ 1, 5, 1 ], [ 1, 1, 1 ], [ 1, 9, 1 ] ...	fc7cae8d_575b1a71	fc7cae8d_575b1a71	python_inductive	0.9286	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 1, 1, 1, 1, 1, ...	{ "uuid": "bc028da6-f60c-4832-8d10-aae08b33f5a5", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 5, 5, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 5, 5, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 5, 5, 0, 0, 7, 0, 7 ], [ 0, 0, 0, 0, 0, ...	[ [ 9, 9, 9, 9, 0, 0, 0, 0, 0, 0, 0, 0, 7, 7, 7, 7, 0, 0, 0, 0, 7, 7, 7, 7 ], [ 9, 9, 9, 9, 0, 0, 0, 0, 0, 0, 0, 0, 7, 7, 7, 7, 0, 0, 0, 0...	0bb8deee_60c09cac	0bb8deee_60c09cac	python_inductive	0.9615	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0,...	{ "uuid": "00ca3876-2f31-423b-9672-88f135147500", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 5 ], [ 0, ...	[ [ 0, 5, 0 ], [ 7, 7, 0 ], [ 0, 0, 0 ], [ 0, 0, 0 ], [ 0, 5, 0 ], [ 6, 6, 6 ], [ 0, 0, 0 ], [ 0, 0, 0 ], [ 0, 4, 0 ], [ 1, 1, 0 ], [ 0, 4, 0 ] ...	[ [ 0, 8, 0 ], [ 8, 8, 0 ], [ 0, 0, 0 ], [ 8, 0, 0 ], [ 0, 0, 0 ] ]	070dd51e_99b1bc43	070dd51e_99b1bc43	python_inductive	0.9474	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0...	{ "uuid": "fdf095df-0e31-4d31-8ef5-b27119adb020", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0 ], [ 0, 0, 0, ...	[ [ 0, 0, 0, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], [ 4, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 4...	67e490f4_5c2c9af4	67e490f4_5c2c9af4	python_inductive	0.9643	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1,...	{ "uuid": "73fd0bc2-9b76-4e12-8343-72d1b11c8957", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 2, 2, 0, 0, 0, 0, 0 ], [ 4, 0, 0, 0, 0, 0, ...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 9, 9, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 4, 0, 0, 0, 4, 0, 0, 4, 0, 4, 3, 9, 9, 9, 0, 0...	[ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 9, 9, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 4, 0, 0, 0, 4, 0, 0, 4, 0, 4, 3, 9, 9, 9, 0, 0...	b15fca0b_4c177718	b15fca0b_4c177718	python_inductive	0.9474	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 2, 2, 0, 0, 0, 0, 0 ], [ ...	{ "uuid": "e92627bb-99ec-4323-9c13-2cd9ea77ff00", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 7, 7, 7, 7, 7, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 1, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 1, 0, ...	456873bc_1a6449f1	456873bc_1a6449f1	python_inductive	0.96	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], ...	{ "uuid": "c88178d7-08d4-4f24-9817-8c50d73516ee", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], [ 6, 6, 6, 6, 6, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	581f7754_d931c21c	581f7754_d931c21c	python_inductive	0.9583	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6 ], ...	{ "uuid": "76873811-0bc6-46b6-a769-60bb4dac652d", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ ...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3...	[ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 1, 3, 1, 1, 3, 1, 3 ], [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3...	9bbf930d_f35d900a	9bbf930d_f35d900a	python_inductive	0.963	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,...	{ "uuid": "530d4997-dbcf-4265-881e-15b97f6c06a2", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 3, 6, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], [ ...	[ [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], [ 9, 9, ...	[ [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], [ 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], [ 9, 9, ...	7b80bb43_97999447	7b80bb43_97999447	python_inductive	0.9643	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 3, 6, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,...	{ "uuid": "47d260b9-cc11-4dbd-9024-7849410a424d", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 3, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 9, 0, 0, 9, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 9, 0, 0, 9, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 9, 0, 0, 9, 0, 2, 0, 0, 3 ], [ 0, 0, 0, 9, 0, ...	[ [ 0, 0, 0, 9, 0, 0, 9, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 9, 0, 0, 9, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 9, 0, 0, 9, 0, 2, 0, 0, 3 ], [ 0, 0, 0, 9, 0, ...	2546ccf6_e9614598	2546ccf6_e9614598	python_inductive	0.9524	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 3, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "f48da34e-708a-4c1d-84a7-881613e882fc", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, ...	[ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 8 ], [ 8, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 8 ], [ 8, 0, 0, 0, 0, 0, 0, 0, ...	b99e7126_48d8fb45	b99e7126_48d8fb45	python_inductive	0.9545	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,...	{ "uuid": "d29ef48e-33d2-4346-b801-69fe0c9c2f3d", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, ...	[ [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 2, 0, 0, 0, 0 ], [ 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 9, 6, 2, 0, 0, 0, 0 ], [ 6, 6, 6, 6, 6, 6, ...	[ [ 6, 6, 6, 6, 6, 6, 6, 6, 9, 6, 6, 6, 6 ], [ 6, 6, 6, 6, 6, 6, 6, 6, 9, 6, 6, 9, 6 ], [ 6, 6, 6, 6, 6, 6, 6, 6, 1, 9, 9, 6, 6 ], [ 6, 6, ...	f931b4a8_72a961c9	f931b4a8_72a961c9	python_inductive	0.9545	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...	{ "uuid": "cb20a385-b0e9-4229-8dcd-e7c709c51d13", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 4, 2, 4, ...	[ [ 0, 0, 0, 4, 0, 2, 2, 0, 0 ], [ 0, 0, 0, 4, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 4, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 4, 0, 0, 0, 2, 0 ], [ 0, 2, 0, 4, ...	[ [ 0, 0, 0, 4, 0, 2, 2, 0, 0 ], [ 0, 0, 0, 4, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 4, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 4, 0, 0, 0, 3, 0 ], [ 0, 3, 0, 4, ...	2bee17df_aedd82e4	2bee17df_aedd82e4	python_inductive	0.9412	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "a7d2fc1d-cf49-4083-ad36-eab35d8b9ce8", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 2}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, ...	[ [ 2, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 9, 9, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 5, 5, 0, 0, 0, 0, 0, 0 ], [ ...	7b3084d4_22a4bbc2	7b3084d4_22a4bbc2	python_inductive	0.9565	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	{ "uuid": "1d2a7e23-f287-40b9-8155-3cd6060a7ac1", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 7, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...	[ [ 7, 7, 7, 7, 7, 7, 7, 2, 2, 5, 7, 7, 7, 7, 7, 7, 7, 2, 2, 2, 5, 7, 7, 7, 7, 7, 7, 7, 2, 2 ], [ 2, 0, 9, 9, 9, 9, 7, 2, 2, 5, 2, 0, 9, 9...	[ [ 9, 2, 2, 9, 2, 2, 9, 2, 2 ], [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 2, 2, 2, 2, 2, 2, 2, 2, 2 ], [ 9, 2, 2, 9, 2, 2, 9, 9, 2 ], [ 9, 2, 2, 9, ...	b0c4d837_7039b2d7	b0c4d837_7039b2d7	python_inductive	0.9565	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 7, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...	{ "uuid": "f78fba7f-0140-4d02-a62f-1b587a333241", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 4, 0, 0, 0, 7, 0, 0, 0, 0 ], [ 0, 0, ...	db695cfb_2f767503	db695cfb_2f767503	python_inductive	0.9524	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], ...	{ "uuid": "72f59aa5-7267-4cef-875c-dd363f00e59c", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 4, 4, 4, 4 ]...	38007db0_ac0a08a4	38007db0_ac0a08a4	python_inductive	0.9615	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, ...	{ "uuid": "58246b60-beff-4512-8483-c81465ce0795", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, ...	[ [ 1, 3, 3, 3, 3, 3, 1, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 1, 3, 3, 3, 3, 3, 1, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 1, 3, 3, 3, 3, 3, 1, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0 ], [ 0, 5, 0, 3, 0 ], [ 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0 ], [ 0, 0,...	b0039139_1c786137	b0039139_1c786137	python_inductive	0.9545	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ ...	{ "uuid": "75bd5ed5-559d-471d-9e80-d60666511142", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 9, 9, 9, 9, 9, 9, 9, 0, 0, 0, 0, 0, 4 ], [ 9, 9, 9, 9, 9, 9, 9, 0, 0, 0, 0, 0, 0 ], [ 9, 9, ...	[ [ 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 4, 0 ], [ 9, 9, 9, 9, 9, 9, 9, 8, 0, 0, 0, 0, 4 ], [ 9, 9, 0, 9, 0, 9, 9, 0, 8, 0, 0, 4, 8 ], [ 9, 0, ...	db695cfb_ba9d41b8	db695cfb_ba9d41b8	python_inductive	0.96	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "6f15c60f-39fd-4fd7-bc11-a2691737c4a3", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 0, 0, 0 ], [ 0, 0, 0, 0, 6, 5, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	7b5033c1_8dae5dfc	7b5033c1_8dae5dfc	python_inductive	0.9565	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 0, 0, 0 ], [ ...	{ "uuid": "09cd1641-8cda-4dbe-9e79-a515194ac5b6", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, ...	[ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8, 8, 8, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8...	[ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 5, 5, 5, 5, 5, 5, ...	e376de54_74dd1130	e376de54_74dd1130	python_inductive	0.9474	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8 ], [ 8, 8, 8, 8, 8, ...	{ "uuid": "b323b8f8-1ab5-4f66-85c5-c19d9e4035a3", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 3, 5 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 1, 9 ], [ 0, 0, 0, ...	[ [ 0, 2, 2, 2, 2, 0, 9, 3 ], [ 0, 2, 0, 0, 2, 0, 8, 5 ], [ 0, 2, 0, 0, 2, 0, 0, 0 ], [ 0, 2, 2, 2, 2, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0 ]...	[ [ 0, 0, 0, 8, 8, 8, 8, 0, 0, 9, 9, 9, 9, 0, 0, 0 ], [ 0, 0, 0, 8, 5, 8, 8, 0, 0, 9, 3, 9, 9, 0, 0, 0 ], [ 0, 0, 0, 8, 8, 5, 8, 0, 0, 9, ...	269e22fb_305b1341	269e22fb_305b1341	python_inductive	0.9444	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 3, 5 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 1, ...	{ "uuid": "b949313f-2795-42fb-9e23-24a90e4f6c83", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ...	[ [ 9, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 5, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 9, 9, 9, 9, 9, 4, 4, 4, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 6, 4, 4, 4, 4, 4, 5, 4, 4 ], [ 9, 9, 9, 9, 9, 4, 4, 4, 4, 4, 4, 4, 4, 4...	e179c5f4_17b80ad2	e179c5f4_17b80ad2	python_inductive	0.9583	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "508ee298-6254-4cba-9e95-7893f523279e", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 9, 0, 0, 4, 0, 3, 2, 0, 9, 0, 0 ], [ 9, 0, 4, 7, 7, 3, 0, 0, 4, 0, 0 ], [ 0, ...	[ [ 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 0, 0, 0, 8, 8, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 3, 0, 0, 5, 0, 0, 0, 0, 9, 5...	[ [ 4, 1, 8, 0, 5, 8, 8, 1, 2, 1, 6 ], [ 0, 0, 5, 2, 0, 0, 5, 9, 5, 0, 8 ], [ 8, 0, 2, 6, 4, 2, 9, 5, 0, 0, 0 ], [ 5, 0, 0, 2, 0, 2, 8, 2, ...	78332cb0_75b8110e	78332cb0_75b8110e	python_inductive	0.95	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 9, 0, 0, 4, 0, 3, 2, 0, 9, 0, 0 ], [ 9, 0, 4, 7, 7, 3, 0, 0, ...	{ "uuid": "92f46052-6241-4ad6-973f-c04864d03b8b", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	3490cc26_20981f0e	3490cc26_20981f0e	python_inductive	0.9565	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ], ...	{ "uuid": "d58c8fcd-0b50-4199-93f5-f80b2242841c", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 7}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 7, 7, 7, 7, 7, ...	[ [ 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 5, 0, 7, 7, 7, 7, 7, 7, 0, 0, 0, 0, 0, 0...	[ [ 8 ], [ 8 ], [ 8 ], [ 3 ], [ 3 ], [ 2 ], [ 2 ], [ 2 ], [ 2 ], [ 2 ], [ 2 ], [ 2 ], [ 2 ], [ 2 ], [ 2 ], [ 2 ] ]	a6f40cea_b7999b51	a6f40cea_b7999b51	python_inductive	0.9583	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, ...	{ "uuid": "1c601b04-8408-4f1f-ad46-ef7e99649505", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 3, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 7, 0, 6, 0, 0, 0, 0, 9, 3, 5, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 7, 0, 0, 6, 0, 1, 3, 8, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 1, 0, 0, 8, 0, 0, 0, 0 ], [ 0, 0, 1, 8, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0 ], ...	b0039139_1b60fb0c	b0039139_1b60fb0c	python_inductive	0.9667	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 3, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 7, 0, 6, 0, 0, 0, 0, 9, 3,...	{ "uuid": "4acd8f4a-3c2e-4273-b121-7e4c7c5bb508", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	981571dc_dd2401ed	981571dc_dd2401ed	python_inductive	0.9412	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "5edbb54f-bcbd-4546-bacb-9b3966108104", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-11:8000/Qwen/Qwen3-235B-A22B-Thinking-2507-FP8?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 3}", "{\"name\": \"permu...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 6, 6, 0, 0, 3, 0, 0 ], ...	[ [ 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 6, 0, 0, 6, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 5, 3, 5, 0, 0, 0, 0, 0, 0, 0, 0, 6, 6, 0, 0, 6, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 5, 5, 5, 0...	ff72ca3e_009d5c81	ff72ca3e_009d5c81	python_inductive	0.9583	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 6, 6, ...	{ "uuid": "285523ff-b567-4a6d-956a-9f4741a04b89", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 7, 0, 0, 9, 1, 7, 0, 0, 0, 0, 0 ], [ 0, 0, 1, 0, 7, 1, 0, 0, 9, 7, ...	[ [ 0, 0, 0, 0, 7, 0, 0, 9, 0, 7, 0, 0, 0, 0, 1 ], [ 0, 0, 0, 1, 7, 0, 1, 0, 1, 7, 0, 0, 0, 1, 9 ], [ 0, 0, 1, 0, 7, 0, 0, 0, 1, 7, 0, 0, ...	[ [ 0, 0, 0, 0, 7, 6, 6, 9, 6, 7, 6, 6, 6, 6, 1 ], [ 0, 0, 0, 1, 7, 6, 1, 6, 1, 7, 6, 6, 6, 1, 9 ], [ 0, 0, 1, 0, 7, 6, 6, 6, 1, 7, 6, 6, ...	e69241bd_6773b310	e69241bd_6773b310	python_inductive	0.9375	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 7, 0, 0, 9, 1, 7, 0, 0, 0, 0, 0 ], [ 0, 0, 1, 0, ...	{ "uuid": "fe33f6b3-d1d4-48df-a453-ce2ce438e51d", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 6}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0 ], [ 6, 0, 6, 0, 6, 2, 6, 0, 6, 0, 6 ], [ 0, ...	[ [ 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6 ], [ 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0...	[ [ 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 5, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6 ], [ 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0...	80a900e0_d10ecb37	80a900e0_d10ecb37	python_inductive	0.9565	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 6, 0, 6, 0, 6, 0, 6, 0, 6, 0 ], [ 6, 0, 6, 0, 6, 2, 6, 0, ...	{ "uuid": "a7f256c2-aedc-441d-a237-b3b8e70c9c07", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 5}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 4, 6, 2, 9, 3, 8, 1, 5, 6, 6, 2, 2, 8, 2, 0, 0, 9, 7, 7, 7 ], [ 0, 0, 6, 5, ...	[ [ 0, 4, 5, 2, 4, 0 ], [ 0, 0, 8, 9, 0, 0 ], [ 9, 6, 6, 0, 7, 1 ], [ 3, 1, 0, 7, 6, 7 ], [ 6, 5, 6, 0, 8, 1 ], [ 3, 9, 0, 2, 6, 8 ], [ 9, 0, ...	[ [ 0, 4, 5, 2, 4, 0 ], [ 0, 0, 8, 9, 0, 0 ], [ 9, 6, 6, 0, 7, 1 ], [ 3, 1, 0, 7, 6, 7 ], [ 6, 5, 6, 0, 8, 1 ], [ 3, 9, 0, 2, 6, 8 ], [ 9, 0, ...	be03b35f_b1948b0a	be03b35f_b1948b0a	python_inductive	0.963	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 4, 6, 2, 9, 3, 8, 1, 5, 6, 6, 2, 2, 8, 2, 0, 0, 9, 7, 7, 7 ...	{ "uuid": "f37a8d8a-2fe7-4b76-b6cf-0c0933b643c7", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...	8f215267_b8825c91	8f215267_b8825c91	python_inductive	0.9545	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...	{ "uuid": "f6d09a46-6ad5-407c-bdf8-f7162cece23a", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve_backgro...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]
{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...	[ { "input": [ [ 9, 9, 2, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], [ 9, 9, 9, 9, 9, ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], ...	[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], ...	62593bfd_69889d6e	62593bfd_69889d6e	python_inductive	0.9474	hard	{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }	{ "train": [ { "input": [ [ 9, 9, 2, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], ...	{ "uuid": "f7c4f5eb-da9e-4dea-8706-3e0591c400fe", "dataset_name": "nvarc", "llm_uri": "qwen3-next", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_background\", \"permutation\": [0, 5, 2, 1, 8, 9, 3, 7, 6, 4]}", "{\"name\": \"shuffle_trai...	{ "name": "nvarc_inductive_simple_agent" }	[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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135a2760_68b16354

python_inductive

0.9545

hard

{ "augmentation_index": 0, "is_augmented": false, "d4_index": null, "color_permutation": null, "train_shuffle": null }

{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, ...

{ "uuid": "e68c0a95-e861-42d5-80f1-9fc2a8d40046", "dataset_name": "nvarc_json", "llm_uri": "vllm-http://tavor-desktop02:4000/kimi-k2.5?enable_thinking=true&max_tokens=32768&api_key=sk-master", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 0}", "{\"name\": \"permute_preserve_ba...

{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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8b9c3697_782b5218

python_inductive

0.9444

hard

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8f215267_15663ba9

python_inductive

0.9565

hard

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e99362f0_137eaa0f

python_inductive

0.9524

hard

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a6f40cea_b74ca5d1

python_inductive

0.9444

hard

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{ "name": "nvarc_inductive_simple_agent" }

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de809cff_995c5fa3

python_inductive

0.9583

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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ba26e723_d19f7514

python_inductive

0.9615

hard

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{ "name": "nvarc_inductive_simple_agent" }

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0a938d79_0692e18c

python_inductive

0.9524

hard

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{ "name": "nvarc_inductive_simple_agent" }

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36a08778_7f4411dc

python_inductive

0.9545

hard

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{ "name": "nvarc_inductive_simple_agent" }

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d631b094_fc754716

python_inductive

0.9375

hard

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{ "name": "nvarc_inductive_simple_agent" }

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89565ca0_cf98881b

python_inductive

0.9583

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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25d8a9c8_c3202e5a

python_inductive

0.9545

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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e5062a87_137eaa0f

python_inductive

0.9655

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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4c7dc4dd_705a3229

python_inductive

0.9444

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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f5b8619d_9caba7c3

python_inductive

0.9524

hard

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{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0 ], [ 0, 0, 1, 2, ...

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{ "name": "nvarc_inductive_simple_agent" }

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b9e38dc0_2072aba6

python_inductive

0.9444

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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0934a4d8_3d6c6e23

python_inductive

0.9524

hard

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{ "name": "nvarc_inductive_simple_agent" }

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009d5c81_88a10436

python_inductive

0.9667

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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bf45cf4b_84db8fc4

python_inductive

0.9474

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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9aaea919_87ab05b8

python_inductive

0.9474

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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247ef758_feca6190

python_inductive

0.9583

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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1f85a75f_85b81ff1

python_inductive

0.9565

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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7b80bb43_e76a88a6

python_inductive

0.9565

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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eee78d87_ba1aa698

python_inductive

0.9231

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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f560132c_c48954c1

python_inductive

0.9565

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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b60334d2_2c737e39

python_inductive

0.96

hard

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{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, ...

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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68b67ca3_5207a7b5

python_inductive

0.9412

hard

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{ "train": [ { "input": [ [ 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0, 3, 0,...

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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5dbc8537_d511f180

python_inductive

0.95

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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f25ffba3_ad7e01d0

python_inductive

0.963

hard

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{ "train": [ { "input": [ [ 0, 5, 0 ], [ 0, 0, 5 ], [ 0, 8, 8 ] ], "output": [ [ 0, 0, 0, 0, 5, ...

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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13e47133_3ee1011a

python_inductive

0.9333

hard

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694f12f3_d2abd087

python_inductive

0.9412

hard

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221dfab4_0c786b71

python_inductive

0.9615

hard

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{ "name": "nvarc_inductive_simple_agent" }

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35ab12c3_539a4f51

python_inductive

0.9688

hard

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{ "name": "nvarc_inductive_simple_agent" }

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c7f57c3e_ce602527

python_inductive

0.9333

hard

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{ "name": "nvarc_inductive_simple_agent" }

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5545f144_8d510a79

python_inductive

0.9286

hard

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{ "name": "nvarc_inductive_simple_agent" }

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bcb3040b_84f2aca1

python_inductive

0.9643

hard

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[ "ultra_v3" ]

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4c7dc4dd_41e4d17e

python_inductive

0.963

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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64efde09_9b5080bb

python_inductive

0.963

hard

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db695cfb_6a1e5592

python_inductive

0.9615

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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5961cc34_d017b73f

python_inductive

0.9667

hard

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{ "name": "nvarc_inductive_simple_agent" }

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e3721c99_e99362f0

python_inductive

0.9474

hard

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{ "name": "nvarc_inductive_simple_agent" }

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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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a25697e4_94414823

python_inductive

0.9444

hard

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{ "name": "nvarc_inductive_simple_agent" }

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db695cfb_a416b8f3

python_inductive

0.9375

hard

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136b0064_412b6263

python_inductive

0.9615

hard

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7ed72f31_f3e62deb

python_inductive

0.92

hard

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65b59efc_9344f635

python_inductive

0.9615

hard

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bdad9b1f_d43fd935

python_inductive

0.9286

hard

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9aaea919_d017b73f

python_inductive

0.9565

hard

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3a25b0d8_93c31fbe

python_inductive

0.9565

hard

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{ "name": "nvarc_inductive_simple_agent" }

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4c416de3_c61be7dc

python_inductive

0.9286

hard

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89565ca0_1a244afd

python_inductive

0.95

hard

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97d7923e_42a50994

python_inductive

0.9565

hard

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e12f9a14_05269061

python_inductive

0.95

hard

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{ "name": "nvarc_inductive_simple_agent" }

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7ed72f31_27a77e38

python_inductive

0.9565

hard

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ed98d772_c9f8e694

python_inductive

0.96

hard

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{ "name": "nvarc_inductive_simple_agent" }

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e87109e9_e4941b18

python_inductive

0.9545

hard

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{ "name": "nvarc_inductive_simple_agent" }

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faa9f03d_c1d99e64

python_inductive

0.9583

hard

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e376de54_9b365c51

python_inductive

0.9524

hard

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fc7cae8d_575b1a71

python_inductive

0.9286

hard

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{ "name": "nvarc_inductive_simple_agent" }

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0bb8deee_60c09cac

python_inductive

0.9615

hard

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{ "name": "nvarc_inductive_simple_agent" }

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070dd51e_99b1bc43

python_inductive

0.9474

hard

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{ "name": "nvarc_inductive_simple_agent" }

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67e490f4_5c2c9af4

python_inductive

0.9643

hard

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{ "name": "nvarc_inductive_simple_agent" }

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b15fca0b_4c177718

python_inductive

0.9474

hard

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{ "name": "nvarc_inductive_simple_agent" }

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456873bc_1a6449f1

python_inductive

0.96

hard

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{ "name": "nvarc_inductive_simple_agent" }

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581f7754_d931c21c

python_inductive

0.9583

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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9bbf930d_f35d900a

python_inductive

0.963

hard

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{ "name": "nvarc_inductive_simple_agent" }

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7b80bb43_97999447

python_inductive

0.9643

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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2546ccf6_e9614598

python_inductive

0.9524

hard

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{ "name": "nvarc_inductive_simple_agent" }

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b99e7126_48d8fb45

python_inductive

0.9545

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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f931b4a8_72a961c9

python_inductive

0.9545

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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2bee17df_aedd82e4

python_inductive

0.9412

hard

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7b3084d4_22a4bbc2

python_inductive

0.9565

hard

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b0c4d837_7039b2d7

python_inductive

0.9565

hard

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db695cfb_2f767503

python_inductive

0.9524

hard

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38007db0_ac0a08a4

python_inductive

0.9615

hard

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b0039139_1c786137

python_inductive

0.9545

hard

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db695cfb_ba9d41b8

python_inductive

0.96

hard

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6df30ad6_6e02f1e3

python_inductive

0.9375

hard

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7b5033c1_8dae5dfc

python_inductive

0.9565

hard

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2bee17df_1e0a9b12

python_inductive

0.9286

hard

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{ "name": "nvarc_inductive_simple_agent" }

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e376de54_74dd1130

python_inductive

0.9474

hard

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{ "name": "nvarc_inductive_simple_agent" }

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b230c067_8be77c9e

python_inductive

0.9333

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

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269e22fb_305b1341

python_inductive

0.9444

hard

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{ "name": "nvarc_inductive_simple_agent" }

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e179c5f4_17b80ad2

python_inductive

0.9583

hard

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{ "name": "nvarc_inductive_simple_agent" }

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4c3d4a41_9b365c51

python_inductive

0.9091

hard

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78332cb0_75b8110e

python_inductive

0.95

hard

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3490cc26_20981f0e

python_inductive

0.9565

hard

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a6f40cea_b7999b51

python_inductive

0.9583

hard

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6ffbe589_ad173014

python_inductive

0.9444

hard

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142ca369_3af2c5a8

python_inductive

0.95

hard

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dbc1a6ce_cbded52d

python_inductive

0.9444

hard

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{ "name": "nvarc_inductive_simple_agent" }

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1fad071e_92e50de0

python_inductive

0.9412

hard

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b0039139_1b60fb0c

python_inductive

0.9667

hard

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{ "name": "nvarc_inductive_simple_agent" }

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981571dc_dd2401ed

python_inductive

0.9412

hard

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ff72ca3e_009d5c81

python_inductive

0.9583

hard

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{ "name": "nvarc_inductive_simple_agent" }

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e69241bd_6773b310

python_inductive

0.9375

hard

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{ "name": "nvarc_inductive_simple_agent" }

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80a900e0_d10ecb37

python_inductive

0.9565

hard

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{ "name": "nvarc_inductive_simple_agent" }

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{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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be03b35f_b1948b0a

python_inductive

0.963

hard

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{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

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8f215267_b8825c91

python_inductive

0.9545

hard

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{ "uuid": "f6d09a46-6ad5-407c-bdf8-f7162cece23a", "dataset_name": "nvarc", "llm_uri": "vllm-http://cpu-6:8000/moonshotai/Kimi-K2.5?enable_thinking=true&max_tokens=65536&api_key=sk-serve", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 4}", "{\"name\": \"permute_preserve_backgro...

{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]

{ "input": [ { "role": "system", "content": "You are an expert at solving ARC-AGI (Abstraction and Reasoning Corpus) puzzles by writing Python code.\nYour goal is to analyze input-output examples and create a `transform` function that correctly transforms any input grid into the corresponding output g...

[ { "input": [ [ 9, 9, 2, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], [ 9, 9, 9, 9, 9, ...

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62593bfd_69889d6e

python_inductive

0.9474

hard

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{ "train": [ { "input": [ [ 9, 9, 2, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9 ], ...

{ "uuid": "f7c4f5eb-da9e-4dea-8706-3e0591c400fe", "dataset_name": "nvarc", "llm_uri": "qwen3-next", "applied_augmentations": [ "{\"name\": \"d4\", \"transformation_index\": 1}", "{\"name\": \"permute_preserve_background\", \"permutation\": [0, 5, 2, 1, 8, 9, 3, 7, 6, 4]}", "{\"name\": \"shuffle_trai...

{ "name": "nvarc_inductive_simple_agent" }

[ "ultra_v3" ]