---
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
```