| --- |
| license: cc-by-sa-4.0 |
| pretty_name: "bird-sql agent-environment traces (world-model-harness)" |
| language: |
| - en |
| tags: |
| - agent-trajectories |
| - world-models |
| - llm-environments |
| --- |
| |
| # bird-sql — real agent-environment traces |
|
|
| Text-to-SQL over real SQLite databases: the agent explores a copy of the task's database and schema, then submits a SQL query. |
|
|
| Every trace is a REAL run: an LLM agent stepping against the actual benchmark environment, with |
| each transition (tool call → true environment observation) recorded as OpenTelemetry GenAI spans |
| (`traces.otel.jsonl`, one span per line). Captured by |
| [world-model-harness](https://github.com/experientiallabs/world-model-harness)'s |
| `environment-capture` package, which also holds the adapter, capture scripts, and per-corpus |
| provenance: see |
| [`packages/environment-capture/bird-sql/`](https://github.com/experientiallabs/world-model-harness/tree/main/packages/environment-capture/bird-sql). |
|
|
| ## License and attribution |
|
|
| Derived from **bird-bench mini-dev (CC BY-SA 4.0)**; this corpus is redistributed under the same terms |
| (`cc-by-sa-4.0`). The trace text embeds task data and environment output from the upstream |
| benchmark — keep this attribution if you redistribute. |
|
|
| ## Contents |
|
|
| - `traces.otel.jsonl` — the trace corpus (OTel GenAI spans, one JSON object per line) |
| - `data/` — task index (train/test splits: prompts + task metadata) |
| - `gold/` — per-task gold sidecars (graders read these; never staged into agent workspaces) |
| - `schemas/` — database DDL per task database |
|
|
| ## Using it |
|
|
| ```python |
| from huggingface_hub import hf_hub_download |
| |
| path = hf_hub_download( |
| "experiential-labs/wmh-bird-sql-traces", "traces.otel.jsonl", repo_type="dataset" |
| ) |
| ``` |
|
|
| or, from a world-model-harness checkout: |
|
|
| ```bash |
| uv run wmh download bird-sql |
| ``` |
|
|
