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's
environment-capture package, which also holds the adapter, capture scripts, and per-corpus
provenance: see
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
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:
uv run wmh download bird-sql