experiential-labs/wmo-crmarena-traces
crmarena — real agent-environment traces Professional CRM analytics over a realistic Salesforce org snapshot: case routing, handle-time analytics, and entity disambiguation via SQL. 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… See the full description on the dataset page: https://huggingface.co/datasets/experiential-labs/wmo-crmarena-traces.
crmarena — real agent-environment traces
Professional CRM analytics over a realistic Salesforce org snapshot: case routing, handle-time analytics, and entity disambiguation via SQL.
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/crmarena/`.
License and attribution
Derived from Salesforce CRMArena (CC BY-NC 4.0); this corpus is redistributed under the same terms (cc-by-nc-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)
Using it
from huggingface_hub import hf_hub_download
path = hf_hub_download(
"experiential-labs/wmh-crmarena-traces", "traces.otel.jsonl", repo_type="dataset"
)or, from a world-model-harness checkout:
uv run wmh download crmarena