Datasets:

violetxi
/

ch-pilot-rollouts-qwen3.5-9b

rollout_id string	mode string	status string	n_turns int64	n_tool_calls int64	n_malformed int64	n_tool_errors int64	prompt_tokens int64	completion_tokens int64	seed_ref string	task string	messages list
b1_000	B1	done	5	4	0	0	24,838	7,548	1003-00001	Survey matter 1003-00001: identify the client, matter type, the parties involved, key dates and timeline, key events, the outcome or current status, and the most important documents. Use the tools to read the matter's files (they live under matters/1003-00001/), then write a structured report. Cite file paths for every...	[ { "role": "system", "content": "You are an agent exploring the document management system (DMS) of the law firm Calderwood & Harkness LLP (C&H). The DMS holds the firm's work product: memos, letters, emails, spreadsheets, and filings, organized as matters/<matter-id>/<workstream>/<file>. All files are markd...
b1_001	B1	done	9	7	1	0	127,510	15,027	1038-00001	"Survey matter 1038-00001: identify the client, matter type, the parties involved, key dates and tim(...TRUNCATED)	[{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED)
b1_002	B1	done	9	8	0	0	87,677	5,562	1041-00001	"Survey matter 1041-00001: identify the client, matter type, the parties involved, key dates and tim(...TRUNCATED)	[{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED)
b1_003	B1	done	10	9	0	0	104,523	8,657	1001-00001	"Survey matter 1001-00001: identify the client, matter type, the parties involved, key dates and tim(...TRUNCATED)	[{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED)
b1_004	B1	done	12	11	0	1	151,918	7,173	1003-00005	"Survey matter 1003-00005: identify the client, matter type, the parties involved, key dates and tim(...TRUNCATED)	[{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED)
b1_005	B1	done	12	11	0	1	174,107	7,916	1006-00006	"Survey matter 1006-00006: identify the client, matter type, the parties involved, key dates and tim(...TRUNCATED)	[{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED)
b1_006	B1	done	9	8	0	0	104,692	8,883	1008-00005	"Survey matter 1008-00005: identify the client, matter type, the parties involved, key dates and tim(...TRUNCATED)	[{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED)
b1_007	B1	done	10	8	1	0	140,657	10,950	1010-00003	"Survey matter 1010-00003: identify the client, matter type, the parties involved, key dates and tim(...TRUNCATED)	[{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED)
b1_008	B1	done	8	7	0	0	83,040	5,218	1012-00004	"Survey matter 1012-00004: identify the client, matter type, the parties involved, key dates and tim(...TRUNCATED)	[{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED)
b1_009	B1	done	7	6	0	0	79,241	6,032	1015-00001	"Survey matter 1015-00001: identify the client, matter type, the parties involved, key dates and tim(...TRUNCATED)	[{"role":"system","content":"You are an agent exploring the document management system (DMS) of the (...TRUNCATED)

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C&H Pilot Rollouts — Qwen/Qwen3.5-9B

20 agentic exploration rollouts over the Calderwood & Harkness (C&H) synthetic law-firm corpus (the open-sourced world from harvey-labs tasks/firm-knowledge/, MIT), generated by Qwen/Qwen3.5-9B served with vLLM. Part of an actor-selection pilot for a world-internalization research project: the goal is to mine agent trajectories into verified fact stores and rewritten likelihood-training targets.

Companion dataset (same seeds/tasks, different actor): the other ch-pilot-rollouts-* repo under this namespace.

What's here

rollouts.jsonl (config rollouts) — one row per rollout: full message history (system / user / assistant / tool roles) plus metadata (mode, status, turn/tool-call/error counts, token usage, seed_ref).
facts.jsonl (config facts) — atomic facts mined from these rollouts by a Qwen3.5-35B-A3B extractor pass, each with evidence_path + evidence_quote and mechanical verification flags (path_exists, quote_found = normalized quote is a substring of the cited mirror file).
manifest.json — per-rollout run manifest (seed 0, wall time, token counts).

Rollout modes

B1 (12 rollouts) — matter surveys: "survey matter X: client, parties, timeline, events, status, key documents", with file-path citations required for every claim.
B2 (8 rollouts) — self-QA: given a seed document excerpt, pose 3 nontrivial questions (single-doc / cross-doc / cross-matter) and answer them with citations.

The environment is a markdown mirror of 20 of the 266 C&H matters (~13M tokens; docx/xlsx/ eml/pptx → .md). Tools are text-protocol glob/grep/read calls emitted as <tool>{"name": ..., "args": ...}</tool> blocks, answers end in <final>...</final>. Sampling: temperature 0.7, max 40 turns, max-model-len 65536, seed-matched across actors.

Pilot metrics (this actor)

metric	value
rollouts completed	20/20
avg turns	7.0
malformed-action rate	0.021
tool-error rate	0.026
citation resolvability	93.2%
fact candidates (quote-verified)	276 (81.9%)
verified facts / 1M generated tokens	1847
generated tokens	122389
wall clock (20 rollouts, 1×GH200)	184.7s

Provenance & license

All document content is synthetic (no real firm, clients, or people), derived from Harvey AI's MIT-licensed harvey-labs release (commit 7be41d5). These rollouts and facts are released under MIT as well. The 250 firm-knowledge eval tasks are not used or contained here — they remain a held-out evaluation set.

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