Append validated Tasksource decisions: quac/answerability, hatexplain/majority, hotpotqa/supporting-fact, multiwoz22/dialogue-act, multiwoz22/categorical-slot, schema-guided/intent, coqa/yesno, qasper/yesno, topv2/intent, slurp/intent, mcscript2

README.md

@@ -80,16 +80,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 1621278902
-    num_examples: 1056856
+    num_bytes: 1645730205
+    num_examples: 1067128
   - name: validation
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-    num_examples: 17779
+    num_bytes: 39433082
+    num_examples: 18839
   - name: test
-    num_bytes: 40089938
-    num_examples: 19012
-  download_size: 619918849
-  dataset_size: 1697687041
+    num_bytes: 43564722
+    num_examples: 19807
+  download_size: 631282687
+  dataset_size: 1728728009
 - config_name: filtered-full
   features:
   - name: state
@@ -156,16 +156,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 3407318880
-    num_examples: 2554541
+    num_bytes: 3431770183
+    num_examples: 2564813
   - name: validation
-    num_bytes: 36318201
-    num_examples: 17779
+    num_bytes: 39433082
+    num_examples: 18839
   - name: test
-    num_bytes: 40089938
-    num_examples: 19012
-  download_size: 1296787852
-  dataset_size: 3483727019
+    num_bytes: 43564722
+    num_examples: 19807
+  download_size: 1308151690
+  dataset_size: 3514767987
 - config_name: vision
   features:
   - name: images
@@ -471,3 +471,13 @@ Source-row metadata: additions/2d27d40ae2fe/rows.json.
 Legal, biomedical and structured-text additions use native labels and source partitions; ACORD relevance uses explicit attorney grades. Evidence Inference joins annotations by prompt and article. Complete evidence is retained; oversized requests are excluded rather than answer-biased truncation. Source/license details and counts are recorded in the addition manifest.
 
 Source-row metadata: additions/b3e70284a0c4/rows.json.
+
+
+## Dialogue and evidence additions
+
+Eleven reviewed decision views from ten sources retain native holdouts and source identities. QuAC contributes answerability only; MultiWOZ contributes dialogue acts and categorical state slots. QASPER requires consistent binary annotations and all cited evidence in the supplied text. SLURP uses native scenario/action intent identities. Repackaged source cards link the original data and reproducible converters. A coarse source/recast review sampled 1–3 examples per task; it does not establish corpus-wide label accuracy. Unresolved source licenses remain explicitly marked.
+
+
+Source-row metadata: additions/aebc640a1ba7/rows.json.
+
+Coarse model review, sampled row IDs and limitations: [review](additions/aebc640a1ba7/review.json).

additions/aebc640a1ba7/manifest.json

@@ -0,0 +1,394 @@
+{
+  "parent_revision": "9d0d1c7dd5f88e1295f2f2bfb954200c26c08e10",
+  "tasks": [
+    "quac/answerability",
+    "hatexplain/majority",
+    "hotpotqa/supporting-fact",
+    "multiwoz22/dialogue-act",
+    "multiwoz22/categorical-slot",
+    "schema-guided/intent",
+    "coqa/yesno",
+    "qasper/yesno",
+    "topv2/intent",
+    "slurp/intent",
+    "mcscript2"
+  ],
+  "configs": [
+    "default",
+    "full"
+  ],
+  "max_rows": 1000,
+  "max_rows_eval": 100,
+  "splits": {
+    "train": {
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+      "sources": {
+        "quac/answerability": 993,
+        "hatexplain/majority": 1000,
+        "hotpotqa/supporting-fact": 1000,
+        "multiwoz22/dialogue-act": 1000,
+        "multiwoz22/categorical-slot": 1000,
+        "schema-guided/intent": 1000,
+        "coqa/yesno": 1000,
+        "qasper/yesno": 279,
+        "topv2/intent": 1000,
+        "slurp/intent": 1000,
+        "mcscript2": 1000
+      },
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+      "file_bytes": 8789531,
+      "sha256": "48a82c2b1ca915822c47bc277ee9cea927c841bc5d6bfd4641e1d4dea5228524"
+    },
+    "validation": {
+      "rows": 1060,
+      "sources": {
+        "quac/answerability": 100,
+        "hatexplain/majority": 100,
+        "hotpotqa/supporting-fact": 100,
+        "multiwoz22/dialogue-act": 100,
+        "multiwoz22/categorical-slot": 100,
+        "schema-guided/intent": 100,
+        "coqa/yesno": 100,
+        "qasper/yesno": 60,
+        "topv2/intent": 100,
+        "slurp/intent": 100,
+        "mcscript2": 100
+      },
+      "num_bytes": 3114881,
+      "file_bytes": 1212204,
+      "sha256": "94a4335e1d36abac762a45ada7e3774d7374baf005f8dd1cab79627a92bef168"
+    },
+    "test": {
+      "rows": 795,
+      "sources": {
+        "hatexplain/majority": 100,
+        "multiwoz22/dialogue-act": 100,
+        "multiwoz22/categorical-slot": 100,
+        "schema-guided/intent": 100,
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+        "topv2/intent": 100,
+        "slurp/intent": 100,
+        "mcscript2": 100
+      },
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+      "sha256": "0a641e6e8b29dd370adcd7347ee66bec5c65f2cc724b85ae949ab0c62317e89d"
+    }
+  },
+  "provenance": {
+    "quac/answerability": {
+      "dataset": "allenai/quac",
+      "config": "plain_text",
+      "revision": "768addbf2099da8efabd67d3a669f6483b813c1b"
+    },
+    "hatexplain/majority": {
+      "dataset": "Hate-speech-CNERG/hatexplain",
+      "revision": "b0e5676acc1d0dcb31d6ce8e93e7e94109044ed6"
+    },
+    "hotpotqa/supporting-fact": {
+      "dataset": "hotpotqa/hotpot_qa",
+      "config": "distractor",
+      "revision": "1908d6afbbead072334abe2965f91bd2709910ab"
+    },
+    "multiwoz22/dialogue-act": {
+      "dataset": "pfb30/multi_woz_v22",
+      "config": "v2.2",
+      "revision": "a65d2d3261c42a309b634179c186628bf35d9298"
+    },
+    "multiwoz22/categorical-slot": {
+      "dataset": "pfb30/multi_woz_v22",
+      "config": "v2.2",
+      "revision": "a65d2d3261c42a309b634179c186628bf35d9298"
+    },
+    "schema-guided/intent": {
+      "dataset": "google-research-datasets/schema_guided_dstc8",
+      "config": "dialogues",
+      "revision": "a8029ad8c12e13cdbfefc2f649e245fa135bc98a"
+    },
+    "coqa/yesno": {
+      "dataset": "stanfordnlp/coqa",
+      "revision": "0d9e9952f1ef6e5415492d3d84b5873259137e3c"
+    },
+    "qasper/yesno": {
+      "dataset": "allenai/qasper",
+      "config": "qasper",
+      "revision": "06806e4608976fc2fac0a090ac425d5b2b29caf4"
+    },
+    "topv2/intent": {
+      "dataset": "WillHeld/top_v2",
+      "revision": "5e382a8497d4dd28842cc0bfa85387f965ac9d8d"
+    },
+    "slurp/intent": {
+      "dataset": "tasksource/slurp",
+      "revision": "a21c5fbc1b0821a04f0ee9cb6de927f96dbd5338"
+    },
+    "mcscript2": {
+      "dataset": "tasksource/mcscript2",
+      "revision": "3b9c261f28c82ba15e6073990c0d70f05db60c4a"
+    }
+  },
+  "excluded": [
+    {
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+      "source": "qasper/yesno",
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+    }
+  ],
+  "max_request_bytes": 131072,
+  "licenses": {
+    "quac/answerability": {
+      "license": "mit",
+      "license_use": "commercial",
+      "card_licenses": {
+        "allenai/quac": [
+          "mit"
+        ]
+      }
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+    "hatexplain/majority": {
+      "license": "cc-by-4.0",
+      "license_use": "commercial",
+      "card_licenses": {
+        "Hate-speech-CNERG/hatexplain": [
+          "cc-by-4.0"
+        ]
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+    },
+    "hotpotqa/supporting-fact": {
+      "license": "cc-by-sa-4.0",
+      "license_use": "commercial",
+      "card_licenses": {
+        "hotpotqa/hotpot_qa": [
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+        ]
+      }
+    },
+    "multiwoz22/dialogue-act": {
+      "license": "apache-2.0",
+      "license_use": "commercial",
+      "card_licenses": {
+        "pfb30/multi_woz_v22": [
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+      "license_use": "commercial",
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+      "card_licenses": {
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+      "license_use": "unspecified",
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+}

additions/aebc640a1ba7/review.json

@@ -0,0 +1,599 @@
+{
+  "reviews": [
+    {
+      "task": "quac/answerability",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain_with_source_caveat",
+      "sampled_examples": [
+        {
+          "id": "C_324c6c1e2e9d4d4984218d84afacf704_1_q#8",
+          "split": "train",
+          "recast_sha256": "43808c6eac2bdaf4f589768316aa0f92dea2bf4a1982b70bc901277093b432d1"
+        }
+      ],
+      "findings": "The inspected question about tour companions is answerable from the complete passage. Earlier teacher answers remain source-native and can be noisy.",
+      "provenance": {
+        "dataset": "allenai/quac",
+        "config": "plain_text",
+        "revision": "768addbf2099da8efabd67d3a669f6483b813c1b"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "hatexplain/majority",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain_with_source_caveat",
+      "sampled_examples": [
+        {
+          "id": "1179082934357118976_twitter",
+          "split": "train",
+          "recast_sha256": "d49ad7c8cfcce14b3f9f404c58bd3054afcb55e4e8ff4c4f933255e7308cdfbc"
+        }
+      ],
+      "findings": "Majority votes are preserved, ties excluded. The inspected abusive narrative was labeled normal by source annotators: labels concern hate/offense judgments, not all disturbing content.",
+      "provenance": {
+        "dataset": "Hate-speech-CNERG/hatexplain",
+        "revision": "b0e5676acc1d0dcb31d6ce8e93e7e94109044ed6"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "hotpotqa/supporting-fact",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "5a890ba1554299669944a47f:Eastern Hills Mall:0",
+          "split": "train",
+          "recast_sha256": "67c57cea8d7ad643e1f5c354f298274b08fff5dbc7e6362f60d1974a056ac280"
+        }
+      ],
+      "findings": "The inspected distractor sentence is not a native supporting fact. Membership uses question/title/sentence identity, not text matching.",
+      "provenance": {
+        "dataset": "hotpotqa/hotpot_qa",
+        "config": "distractor",
+        "revision": "1908d6afbbead072334abe2965f91bd2709910ab"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "multiwoz22/dialogue-act",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "PMUL3854.json:10",
+          "split": "train",
+          "recast_sha256": "6f6003cf657c3c1d0e39bfad284caa52b2a34c0d5a07ccfd58ac9c94487ad19e"
+        }
+      ],
+      "findings": "The inspected Hotel-Inform turn supplies booking parameters. Only rows with one unique native dialogue-act type are emitted.",
+      "provenance": {
+        "dataset": "pfb30/multi_woz_v22",
+        "config": "v2.2",
+        "revision": "a65d2d3261c42a309b634179c186628bf35d9298"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "multiwoz22/categorical-slot",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "PMUL3922.json:2:hotel-stars",
+          "split": "train",
+          "recast_sha256": "a7c0849bb28b8e2869516d88ff93440ba1a2c364290ba57efec614ddbe3371b5"
+        }
+      ],
+      "findings": "The inspected hotel-stars=3 value is grounded in the earlier user request; current state is not shown in inputs.",
+      "provenance": {
+        "dataset": "pfb30/multi_woz_v22",
+        "config": "v2.2",
+        "revision": "a65d2d3261c42a309b634179c186628bf35d9298"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "schema-guided/intent",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "99_00115:2:Media_1",
+          "split": "train",
+          "recast_sha256": "ac910b0d66e94147cbdfca658adb6d7011b89b8d46aa41f7a6bc96b7310ccf62"
+        }
+      ],
+      "findings": "The inspected Media_1 intent remains FindMovies while another service is introduced. Instructions ask for the named service state, not a single global utterance intent.",
+      "provenance": {
+        "dataset": "google-research-datasets/schema_guided_dstc8",
+        "config": "dialogues",
+        "revision": "a8029ad8c12e13cdbfefc2f649e245fa135bc98a"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "coqa/yesno",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "df8754b3ef108c1950e9c4bef451f5c2232f3b59a8e29546032c4ecb153b72b0:3",
+          "split": "train",
+          "recast_sha256": "281d6da4ef27054297f703051b1177f18acf2fad82e26dd2a260b437afc5f081"
+        }
+      ],
+      "findings": "The inspected no answer about wealth is supported by the passage describing Guizhou as one of the poorest provinces. Only exact native binary answers are retained.",
+      "provenance": {
+        "dataset": "stanfordnlp/coqa",
+        "revision": "0d9e9952f1ef6e5415492d3d84b5873259137e3c"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "qasper/yesno",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain_with_source_caveat",
+      "sampled_examples": [
+        {
+          "id": "05238d1fad2128403577822aa4822ef8ca9570ac",
+          "split": "train",
+          "recast_sha256": "d8c267b9a1e02c758057e1af2018d4b100f30966df540d3bfbf6cc696b01ec8c"
+        },
+        {
+          "id": "2a1069ae3629ae8ecc19d2305f23445c0231dc39",
+          "split": "train",
+          "recast_sha256": "a24d5a5f7959d01ae32fd1aea57c785f2e5adea5950f3304e72d5794b368d497"
+        },
+        {
+          "id": "061682beb3dbd7c76cfa26f7ae650e548503d977",
+          "split": "train",
+          "recast_sha256": "d288739434c145be019a651a90e9d46d333720995059f2cb8a352262dc2fd00d"
+        }
+      ],
+      "findings": "Three inspected binary cases retain text evidence and consistent native annotations. Computation-time and non-neural WSD cases are supported; a rationale-timing question is less explicit in its cited evidence and remains a source-quality caveat.",
+      "provenance": {
+        "dataset": "allenai/qasper",
+        "config": "qasper",
+        "revision": "06806e4608976fc2fac0a090ac425d5b2b29caf4"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "topv2/intent",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "c64fdd72d7b496fbe227586eb22d051df615cdf2ce5653ed5d2415135757b138",
+          "split": "train",
+          "recast_sha256": "45a5622f351fc2392caa24ebc5efa4acf95b7221e85c8241ab087e595325caea"
+        }
+      ],
+      "findings": "The inspected remaining-time question maps to the native get_timer root intent. Nested slots and gold parse are excluded from inputs.",
+      "provenance": {
+        "dataset": "WillHeld/top_v2",
+        "revision": "5e382a8497d4dd28842cc0bfa85387f965ac9d8d"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "slurp/intent",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain_with_source_caveat",
+      "sampled_examples": [
+        {
+          "id": "9900",
+          "split": "train",
+          "recast_sha256": "cfeb385ccb1238b4030ea3ae548800894d73fe382841a6785d1147759f76a345"
+        }
+      ],
+      "findings": "The inspected resume-Battle-Royale utterance has native play_audiobook intent, but text alone does not explicitly distinguish media type. Native intent supervision has underspecified cases despite duplicate/short-transcript filtering.",
+      "provenance": {
+        "dataset": "tasksource/slurp",
+        "revision": "2e033e72af1d7df94523d5053b31a30130b7f877"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "mcscript2",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "coarse source/recast inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "1044:8",
+          "split": "train",
+          "recast_sha256": "99df8ad69a57a48105de627fe31c9208e62945da616e5bd843482b8ee820f2ed"
+        }
+      ],
+      "findings": "The inspected story explicitly names yellow daisies, matching the gold native option. XML choice order and gold index are retained before Jev permutation.",
+      "provenance": {
+        "dataset": "tasksource/mcscript2",
+        "revision": "3b9c261f28c82ba15e6073990c0d70f05db60c4a"
+      },
+      "limitations": "Small sample; not an estimate of corpus-wide label accuracy."
+    },
+    {
+      "task": "quac/answerability",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain_with_source_caveat",
+      "sampled_examples": [
+        {
+          "id": "quac:train:C_04a01eb83156458e9258f9a152d9618f_0_q#5:quac-answerability-bb7c4463e8",
+          "split": "train",
+          "recast_sha256": "2061da69184f4d57274be3c8c85fe3fb9d5938093693b2d4885ec0cec8cedd25",
+          "gold": [
+            "yes"
+          ]
+        }
+      ],
+      "findings": "The passage names Alix Bailey as the wife, supporting answerability. Prior native QA turns contain noisy answers, retained as conversation context.",
+      "provenance": {
+        "dataset": "allenai/quac",
+        "config": "plain_text",
+        "revision": "768addbf2099da8efabd67d3a669f6483b813c1b"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    },
+    {
+      "task": "hatexplain/majority",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain_with_source_caveat",
+      "sampled_examples": [
+        {
+          "id": "hatexplain:train:3826117_gab:hatexplain-majority-4b2a472634",
+          "split": "train",
+          "recast_sha256": "00d35820a85f7e2cdcb92879eba4f67efcfeb8af400e70702bcf195c337346b9",
+          "gold": [
+            "hate speech"
+          ]
+        }
+      ],
+      "findings": "The recast retains the native hate-speech majority for the inspected group-directed post. Source annotator judgments are subjective; no replacement labels were inferred.",
+      "provenance": {
+        "dataset": "Hate-speech-CNERG/hatexplain",
+        "revision": "b0e5676acc1d0dcb31d6ce8e93e7e94109044ed6"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    },
+    {
+      "task": "hotpotqa/supporting-fact",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "hotpotqa:train:5ae1fb09554299234fd04382:The Formula (1980 film):2:hotpotqa-supporting-fact-274a376cc2",
+          "split": "train",
+          "recast_sha256": "d03a3caf85c1d53fae204cc83f1aa83ccb82cab23be12790599a44d993dacb5a",
+          "gold": [
+            "not a supporting fact"
+          ]
+        }
+      ],
+      "findings": "The inspected Craig T. Nelson sentence is not in the native supporting-fact set. The criterion explicitly asks for annotation membership; it does not claim all other sentences are irrelevant.",
+      "provenance": {
+        "dataset": "hotpotqa/hotpot_qa",
+        "config": "distractor",
+        "revision": "1908d6afbbead072334abe2965f91bd2709910ab"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    },
+    {
+      "task": "multiwoz22/dialogue-act",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "multiwoz22:train:SNG0065.json:0:multiwoz22-dialogue-act-7a1cf5f5fd",
+          "split": "train",
+          "recast_sha256": "0e52758a129cf4c6d92aaba61d52babbee72ada663a6270033b430565bc3e688",
+          "gold": [
+            "Taxi-Inform"
+          ]
+        }
+      ],
+      "findings": "The current user gives taxi pickup/destination details; native Taxi-Inform is consistent. No future response or gold state enters input.",
+      "provenance": {
+        "dataset": "pfb30/multi_woz_v22",
+        "config": "v2.2",
+        "revision": "a65d2d3261c42a309b634179c186628bf35d9298"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    },
+    {
+      "task": "multiwoz22/categorical-slot",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "multiwoz22:train:PMUL0242.json:18:restaurant-area:multiwoz22-categorical-slot-2a476f8ce2",
+          "split": "train",
+          "recast_sha256": "3abdbcbbd83b989795f2177ccf5ebc9f9475d5e1998084db377a13374f5ae00a",
+          "gold": [
+            "centre"
+          ]
+        }
+      ],
+      "findings": "Restaurant-area=centre is explicitly stated earlier and carried forward in the dialogue state. The question asks for current state, not a new fact in the final goodbye.",
+      "provenance": {
+        "dataset": "pfb30/multi_woz_v22",
+        "config": "v2.2",
+        "revision": "a65d2d3261c42a309b634179c186628bf35d9298"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    },
+    {
+      "task": "schema-guided/intent",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "schema-guided:train:24_00103:2:RentalCars_2:schema-guided-intent-3c604d923b",
+          "split": "train",
+          "recast_sha256": "8f933087eef09b464fcbdee9bfcf9eca689618cfccbb16d493f24f23c049ba6d",
+          "gold": [
+            "GetCarsAvailable"
+          ]
+        }
+      ],
+      "findings": "Sydney rental-car and March 3 context supports native GetCarsAvailable. The service is identified and only previous turns are shown.",
+      "provenance": {
+        "dataset": "google-research-datasets/schema_guided_dstc8",
+        "config": "dialogues",
+        "revision": "a8029ad8c12e13cdbfefc2f649e245fa135bc98a"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    },
+    {
+      "task": "coqa/yesno",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "coqa:train:5a5b3edd97c4d2ca071f0c67a98cf97ff717c08b3183cf9af389503b548ae7fe:11:coqa-yesno-6b0f120687",
+          "split": "train",
+          "recast_sha256": "c1c9e8832401e6a18e7610695c96734fbbf26550ed79e7b1f3049c0a29ffa12b",
+          "gold": [
+            "yes"
+          ]
+        }
+      ],
+      "findings": "The earlier answer lists clean living spaces; the passage lists vaccinations, food and clothing too, supporting yes to anything else.",
+      "provenance": {
+        "dataset": "stanfordnlp/coqa",
+        "revision": "0d9e9952f1ef6e5415492d3d84b5873259137e3c"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    },
+    {
+      "task": "qasper/yesno",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "qasper:train:cd1034c183edf630018f47ff70b48d74d2bb1649:qasper-yesno-283c368943",
+          "split": "train",
+          "recast_sha256": "7a4c33ad8589bfc2135273837d41dbd2606f20169df84386919152217b2f169d",
+          "gold": [
+            "yes"
+          ]
+        }
+      ],
+      "findings": "The supplied paper contrasts near-random human detection with up to 97% automatic detection, supporting yes. Tightened the filter after a prior macro-F1 example depended on omitted table evidence: all cited evidence must now occur in supplied text, not merely one paragraph.",
+      "provenance": {
+        "dataset": "allenai/qasper",
+        "config": "qasper",
+        "revision": "06806e4608976fc2fac0a090ac425d5b2b29caf4"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    },
+    {
+      "task": "topv2/intent",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "topv2:train:54b52eeff568a74553d96b4705d6e7032a2128db9075094b9a3f7192a04e020c:topv2-intent-2b01248592",
+          "split": "train",
+          "recast_sha256": "21426263d901cb7f3dfc4ab8cecfd7f8da2989892a1b3b398c2512bd02e3e8c1",
+          "gold": [
+            "get reminder"
+          ]
+        }
+      ],
+      "findings": "The request asks to retrieve upcoming email reminders, consistent with the native get_reminder root intent. Gold semantic parse is excluded.",
+      "provenance": {
+        "dataset": "WillHeld/top_v2",
+        "revision": "5e382a8497d4dd28842cc0bfa85387f965ac9d8d"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    },
+    {
+      "task": "slurp/intent",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain_with_source_caveat",
+      "sampled_examples": [
+        {
+          "id": "slurp:train:10987:slurp-intent-dd2971bc8b",
+          "split": "train",
+          "recast_sha256": "99f6ed4308d0e70593fe3be38eecd44cb060fc9f31dd39d0535f74b44808706b",
+          "gold": [
+            "lists_remove"
+          ]
+        }
+      ],
+      "findings": "Deleting a to-do list matches lists_remove. Rebuilt the mirror using scenario/action pairs (60 intents); raw aliases such as query previously conflated intents. Native raw labels remain in metadata. Some utterances still underspecify media type.",
+      "provenance": {
+        "dataset": "tasksource/slurp",
+        "revision": "a21c5fbc1b0821a04f0ee9cb6de927f96dbd5338"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    },
+    {
+      "task": "mcscript2",
+      "reviewer": {
+        "kind": "model",
+        "model": "gpt-6.1-sol",
+        "model_id_source": "user-provided"
+      },
+      "checked_on": "2026-10-11",
+      "scope": "exact staged export inspection",
+      "verdict": "retain",
+      "sampled_examples": [
+        {
+          "id": "mcscript2:train:2435:2:mcscript2-1af6d87229",
+          "split": "train",
+          "recast_sha256": "61291e6d79443c561d5eb33abf14ea0622a4dfa8f3c02dc9796be05f1ef4ca10",
+          "gold": [
+            "After they finished the job"
+          ]
+        }
+      ],
+      "findings": "Moving furniture back after finishing wallpapering is consistent with the story and native option. This is implicit script reasoning rather than a verbatim answer span.",
+      "provenance": {
+        "dataset": "tasksource/mcscript2",
+        "revision": "3b9c261f28c82ba15e6073990c0d70f05db60c4a"
+      },
+      "limitations": "One exported training row inspected; not a corpus-wide accuracy estimate."
+    }
+  ],
+  "export": {
+    "configs": [
+      "default",
+      "full"
+    ],
+    "splits": {
+      "train": 10272,
+      "validation": 1060,
+      "test": 795
+    },
+    "manifest": "additions/aebc640a1ba7/manifest.json"
+  }
+}

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release-audit.json

@@ -8,7 +8,7 @@
   },
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+      "rows": 2564813,
       "sources": {
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         "AdjectiveScaleProbe-nli": 5017,
@@ -707,15 +707,26 @@
         "wikisql/operator": 1000,
         "acord": 1000,
         "edos": 1000,
-        "evidence-inference": 1000
+        "evidence-inference": 1000,
+        "quac/answerability": 993,
+        "hatexplain/majority": 1000,
+        "hotpotqa/supporting-fact": 1000,
+        "multiwoz22/dialogue-act": 1000,
+        "multiwoz22/categorical-slot": 1000,
+        "schema-guided/intent": 1000,
+        "coqa/yesno": 1000,
+        "qasper/yesno": 279,
+        "topv2/intent": 1000,
+        "slurp/intent": 1000,
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       "kinds": {
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@@ -724,8 +735,8 @@
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       "license_use": {
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-        "commercial": 1449107
+        "unspecified": 849789,
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@@ -1104,18 +1115,28 @@
         "ddi": 1000,
         "evidence-inference": 1000,
         "maud": 328,
-        "record": 1000
+        "record": 1000,
+        "schema-guided": 1000,
+        "topv2": 1000,
+        "mcscript2": 1000,
+        "hatexplain": 1000,
+        "slurp": 1000,
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+        "coqa": 1000,
+        "quac": 993,
+        "hotpotqa": 1000,
+        "qasper": 279
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-        "MultipleChoice": 787480,
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+        "MultipleChoice": 788480,
         "graded": 250000,
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         "TokenClassification": 38185
       }
     },
     "validation": {
-      "rows": 17779,
+      "rows": 18839,
       "sources": {
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         "HelpSteer3/preference": 25,
@@ -1794,15 +1815,26 @@
         "wikisql/operator": 100,
         "acord": 100,
         "edos": 100,
-        "evidence-inference": 100
+        "evidence-inference": 100,
+        "quac/answerability": 100,
+        "hatexplain/majority": 100,
+        "hotpotqa/supporting-fact": 100,
+        "multiwoz22/dialogue-act": 100,
+        "multiwoz22/categorical-slot": 100,
+        "schema-guided/intent": 100,
+        "coqa/yesno": 100,
+        "qasper/yesno": 60,
+        "topv2/intent": 100,
+        "slurp/intent": 100,
+        "mcscript2": 100
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         "score": 1369
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+        "direct": 16916,
         "criteria_permutation": 443,
         "label_verification": 455,
         "instruction_paraphrase": 235,
@@ -1810,9 +1842,9 @@
         "packed_derived": 616
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       "license_use": {
-        "commercial": 10451,
+        "commercial": 11211,
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@@ -2186,18 +2218,28 @@
         "infotabs": 100,
         "evidence-inference": 100,
         "maud": 129,
-        "record": 100
+        "record": 100,
+        "schema-guided": 100,
+        "topv2": 100,
+        "mcscript2": 100,
+        "hatexplain": 100,
+        "slurp": 100,
+        "multiwoz22": 200,
+        "coqa": 100,
+        "quac": 100,
+        "hotpotqa": 100,
+        "qasper": 60
       },
       "formats": {
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-        "MultipleChoice": 4895,
+        "Classification": 10394,
+        "MultipleChoice": 4995,
         "graded": 1500,
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         "TokenClassification": 450
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     "test": {
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+      "rows": 19807,
       "sources": {
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         "HelpSteer3/preference": 23,
@@ -2876,15 +2918,23 @@
         "wikisql/operator": 100,
         "acord": 100,
         "edos": 100,
-        "evidence-inference": 100
+        "evidence-inference": 100,
+        "hatexplain/majority": 100,
+        "multiwoz22/dialogue-act": 100,
+        "multiwoz22/categorical-slot": 100,
+        "schema-guided/intent": 100,
+        "qasper/yesno": 95,
+        "topv2/intent": 100,
+        "slurp/intent": 100,
+        "mcscript2": 100
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+        "choice": 16455,
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         "score": 1225
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+        "direct": 17851,
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         "instruction_paraphrase": 227,
@@ -2892,9 +2942,9 @@
         "paired_text_format": 134
       },
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-        "commercial": 10897,
+        "commercial": 11492,
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@@ -3268,11 +3318,18 @@
         "infotabs": 300,
         "ddi": 100,
         "evidence-inference": 100,
-        "maud": 376
+        "maud": 376,
+        "schema-guided": 100,
+        "topv2": 100,
+        "mcscript2": 100,
+        "hatexplain": 100,
+        "slurp": 100,
+        "multiwoz22": 200,
+        "qasper": 95
       },
       "formats": {
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-        "MultipleChoice": 5254,
+        "Classification": 11003,
+        "MultipleChoice": 5354,
         "graded": 1500,
         "procedural": 1500,
         "TokenClassification": 450
@@ -3281,16 +3338,16 @@
   },
   "mix": {
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-      "sources": 678
+      "rows": 19807,
+      "sources": 686
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-      "sources": 698
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+      "sources": 709
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-      "sources": 678
+      "rows": 18839,
+      "sources": 689
     }
   },
   "incremental_additions": [
@@ -3369,6 +3426,27 @@
         "validation": 1929,
         "test": 2565
       }
+    },
+    {
+      "tasks": [
+        "quac/answerability",
+        "hatexplain/majority",
+        "hotpotqa/supporting-fact",
+        "multiwoz22/dialogue-act",
+        "multiwoz22/categorical-slot",
+        "schema-guided/intent",
+        "coqa/yesno",
+        "qasper/yesno",
+        "topv2/intent",
+        "slurp/intent",
+        "mcscript2"
+      ],
+      "manifest": "additions/aebc640a1ba7/manifest.json",
+      "rows": {
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+        "validation": 1060,
+        "test": 795
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   ],
   "english_task_rebuild": {

sources.yaml

@@ -20,6 +20,7 @@ datasets:
 - GBaker/MedQA-USMLE-4-options-hf
 - GGLab/PARADISE
 - HannahRoseKirk/HatemojiBuild
+- Hate-speech-CNERG/hatexplain
 - INK-USC/numer_sense
 - INK-USC/riddle_sense
 - INK-USC/xcsr
@@ -59,6 +60,7 @@ datasets:
 - SetFit/toxic_conversations
 - SetFit/xglue_nc
 - WhereIsAI/github-issue-similarity
+- WillHeld/top_v2
 - X-LANCE/WebSRC_v1.0
 - Yelp/yelp_review_full
 - YufeiHFUT/DocRED_origin
@@ -73,6 +75,8 @@ datasets:
 - allenai/math_qa
 - allenai/openbookqa
 - allenai/qasc
+- allenai/qasper
+- allenai/quac
 - allenai/quartz
 - allenai/scicite
 - allenai/scifact_entailment
@@ -138,6 +142,7 @@ datasets:
 - google-research-datasets/paws
 - google-research-datasets/paws-x
 - google-research-datasets/poem_sentiment
+- google-research-datasets/schema_guided_dstc8
 - google/civil_comments
 - google/code_x_glue_cc_defect_detection
 - goosmanlei/amazon_reviews_multi
@@ -145,6 +150,7 @@ datasets:
 - hendrycks/ethics
 - hendzh/PromptShield
 - hitachi-nlp/FLD.v2
+- hotpotqa/hotpot_qa
 - iamollas/ethos
 - indonlp/NusaX-senti
 - jana4/turingbench-humanized
@@ -202,6 +208,7 @@ datasets:
 - pacovaldez/stackoverflow-questions
 - papluca/language-identification
 - pasinit/xlwic
+- pfb30/multi_woz_v22
 - philippelaban/hlgd
 - pietrolesci/add_one_rte
 - pietrolesci/breaking_nli
@@ -236,6 +243,7 @@ datasets:
 - skg/toxigen-data
 - sonos-nlu-benchmark/snips_built_in_intents
 - stanfordnlp/SHP
+- stanfordnlp/coqa
 - stanfordnlp/imdb
 - stanfordnlp/snli
 - strombergnlp/rumoureval_2019
@@ -323,6 +331,7 @@ datasets:
 - tasksource/lsat-ar
 - tasksource/lsat-rc
 - tasksource/math_qa
+- tasksource/mcscript2
 - tasksource/mctest-nli
 - tasksource/mind2web-dom
 - tasksource/mms
@@ -369,6 +378,7 @@ datasets:
 - tasksource/sick
 - tasksource/silicone
 - tasksource/simple_pair
+- tasksource/slurp
 - tasksource/social_i_qa
 - tasksource/spartqa-mchoice
 - tasksource/spartqa-yn
@@ -9546,3 +9556,158 @@ sources:
     card_licenses:
       tasksource/evidence-inference:
       - other
+  quac/answerability:
+    dataset: allenai/quac
+    config: plain_text
+    revision: 768addbf2099da8efabd67d3a669f6483b813c1b
+    rows:
+      train: 993
+      validation: 100
+    revisions:
+      allenai/quac: 768addbf2099da8efabd67d3a669f6483b813c1b
+    license: mit
+    license_use: commercial
+    card_licenses:
+      allenai/quac:
+      - mit
+  hatexplain/majority:
+    dataset: Hate-speech-CNERG/hatexplain
+    revision: b0e5676acc1d0dcb31d6ce8e93e7e94109044ed6
+    rows:
+      train: 1000
+      validation: 100
+      test: 100
+    revisions:
+      Hate-speech-CNERG/hatexplain: b0e5676acc1d0dcb31d6ce8e93e7e94109044ed6
+    license: cc-by-4.0
+    license_use: commercial
+    card_licenses:
+      Hate-speech-CNERG/hatexplain:
+      - cc-by-4.0
+  hotpotqa/supporting-fact:
+    dataset: hotpotqa/hotpot_qa
+    config: distractor
+    revision: 1908d6afbbead072334abe2965f91bd2709910ab
+    rows:
+      train: 1000
+      validation: 100
+    revisions:
+      hotpotqa/hotpot_qa: 1908d6afbbead072334abe2965f91bd2709910ab
+    license: cc-by-sa-4.0
+    license_use: commercial
+    card_licenses:
+      hotpotqa/hotpot_qa:
+      - cc-by-sa-4.0
+  multiwoz22/dialogue-act:
+    dataset: pfb30/multi_woz_v22
+    config: v2.2
+    revision: a65d2d3261c42a309b634179c186628bf35d9298
+    rows:
+      train: 1000
+      validation: 100
+      test: 100
+    revisions:
+      pfb30/multi_woz_v22: a65d2d3261c42a309b634179c186628bf35d9298
+    license: apache-2.0
+    license_use: commercial
+    card_licenses:
+      pfb30/multi_woz_v22: &id046
+      - apache-2.0
+  multiwoz22/categorical-slot:
+    dataset: pfb30/multi_woz_v22
+    config: v2.2
+    revision: a65d2d3261c42a309b634179c186628bf35d9298
+    rows:
+      train: 1000
+      validation: 100
+      test: 100
+    revisions:
+      pfb30/multi_woz_v22: a65d2d3261c42a309b634179c186628bf35d9298
+    license: apache-2.0
+    license_use: commercial
+    card_licenses:
+      pfb30/multi_woz_v22: *id046
+  schema-guided/intent:
+    dataset: google-research-datasets/schema_guided_dstc8
+    config: dialogues
+    revision: a8029ad8c12e13cdbfefc2f649e245fa135bc98a
+    rows:
+      train: 1000
+      validation: 100
+      test: 100
+    revisions:
+      google-research-datasets/schema_guided_dstc8: a8029ad8c12e13cdbfefc2f649e245fa135bc98a
+    license: cc-by-sa-4.0
+    license_use: commercial
+    card_licenses:
+      google-research-datasets/schema_guided_dstc8:
+      - cc-by-sa-4.0
+  coqa/yesno:
+    dataset: stanfordnlp/coqa
+    revision: 0d9e9952f1ef6e5415492d3d84b5873259137e3c
+    rows:
+      train: 1000
+      validation: 100
+    revisions:
+      stanfordnlp/coqa: 0d9e9952f1ef6e5415492d3d84b5873259137e3c
+    license: other
+    license_use: unspecified
+    card_licenses:
+      stanfordnlp/coqa:
+      - other
+  qasper/yesno:
+    dataset: allenai/qasper
+    config: qasper
+    revision: 06806e4608976fc2fac0a090ac425d5b2b29caf4
+    rows:
+      train: 279
+      validation: 60
+      test: 95
+    revisions:
+      allenai/qasper: 06806e4608976fc2fac0a090ac425d5b2b29caf4
+    license: cc-by-4.0, CC BY 4.0 (DPI)
+    license_use: commercial
+    card_licenses:
+      allenai/qasper:
+      - cc-by-4.0
+    dpi_licenses:
+    - CC BY 4.0
+  topv2/intent:
+    dataset: WillHeld/top_v2
+    revision: 5e382a8497d4dd28842cc0bfa85387f965ac9d8d
+    rows:
+      train: 1000
+      validation: 100
+      test: 100
+    revisions:
+      WillHeld/top_v2: 5e382a8497d4dd28842cc0bfa85387f965ac9d8d
+    license: unspecified
+    license_use: unspecified
+  slurp/intent:
+    dataset: tasksource/slurp
+    revision: a21c5fbc1b0821a04f0ee9cb6de927f96dbd5338
+    rows:
+      train: 1000
+      validation: 100
+      test: 100
+    revisions:
+      tasksource/slurp: a21c5fbc1b0821a04f0ee9cb6de927f96dbd5338
+    license: cc-by-4.0
+    license_use: commercial
+    card_licenses:
+      tasksource/slurp:
+      - cc-by-4.0
+  mcscript2:
+    dataset: tasksource/mcscript2
+    revision: 3b9c261f28c82ba15e6073990c0d70f05db60c4a
+    rows:
+      train: 1000
+      validation: 100
+      test: 100
+    revisions:
+      tasksource/mcscript2: 3b9c261f28c82ba15e6073990c0d70f05db60c4a
+    license: other
+    license_use: unspecified
+    card_licenses:
+      tasksource/mcscript2:
+      - other