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SWE-bench Verified — top-15 model embeddings (Qwen3-8B, 8k)
Frozen Qwen3-8B pooled state & action embeddings (4096-d) for every agent step
of the top-15 models (by SWE-bench Verified resolved rate) from
tarsur385/swev-trm-trajectories-25models. Encoder run at 8k max-model-len
(last-token pooling; tail-truncated), same pipeline as the DeepSWE embeddings.
One row per step. 287,251 steps · 7,011 trajectories · 500 tasks · 15 models.
Columns
| column | type | description |
|---|---|---|
trajectory_id |
string | one rollout (model + task) |
step_idx |
int32 | step order in the rollout |
task_id |
string | SWE-bench Verified instance id |
model |
string | one of the top-15 models |
config |
string | swebench_verified/{train,val} |
reward |
float32 | trajectory outcome: 1.0 resolved / 0.0 not |
state_embedding |
list[4096] | frozen Qwen3-8B pooled state |
action_embedding |
list[4096] | frozen Qwen3-8B pooled action |
Top-15 models: claude-opus-4.6, claude-4.5-opus-high, gemini-3-flash-high, minimax-m2.5-high, glm-5-high, gpt-5.2-{codex,high,1211}, claude-4-opus, claude-4.5-haiku-high, gpt-5.1-{codex-medium,medium}, claude-4-sonnet, kimi-k2-thinking, minimax-m2.
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