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en
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real_file_graph_seed_task
graphseed_000001_graph_intent_05a5290e2264e809
implement_organizational_process_or_policy_changes
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graphseed_000001_graph_intent_aa157ec098caea55
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real_file_graph_seed_task
graphseed_000002_graph_intent_328544f00e4be6c7
record_patient_medical_histories
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graphseed_000002_graph_intent_61d1415c2d9d5d91
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real_file_graph_seed_task
graphseed_000002_graph_intent_61d1415c2d9d5d91
prepare_proposal_documents
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graphseed_000003_graph_intent_daf30fe3c825bcdd
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graphseed_000003_graph_intent_daf30fe3c825bcdd
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graphseed_000004_graph_intent_422bd8d2dd5bb76e
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real_file_graph_seed_task
graphseed_000004_graph_intent_422bd8d2dd5bb76e
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["/mnt/shared-storage-user/songdemin/user/suqisheng/skillsynth-qisheng-upgrade-0811/real_file_pilot/(...TRUNCATED)
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graphseed_000004_graph_intent_bb4b2e52b6a9fa35
"/mnt/shared-storage-user/songdemin/user/suqisheng/metabot/realfile_gdpval_scale_batches/realfile_la(...TRUNCATED)
real_file_graph_seed_task
graphseed_000004_graph_intent_bb4b2e52b6a9fa35
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graphseed_000004_graph_intent_f76f8265ddb29cf8
"/mnt/shared-storage-user/songdemin/user/suqisheng/metabot/realfile_gdpval_scale_batches/realfile_la(...TRUNCATED)
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graphseed_000004_graph_intent_f76f8265ddb29cf8
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graphseed_000005_graph_intent_fad69c6aaced4bf0
"/mnt/shared-storage-user/songdemin/user/suqisheng/metabot/realfile_gdpval_scale_batches/realfile_la(...TRUNCATED)
real_file_graph_seed_task
graphseed_000005_graph_intent_fad69c6aaced4bf0
inform_the_public_about_policies_services_or_procedures
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{"execution_pattern":"research_and_source_synthesis","taxonomy_id":"occupation_life_physical_and_soc(...TRUNCATED)
End of preview. Expand in Data Studio

GraphForge-SFT-2169

This release contains the main GraphForge SFT trajectory corpus used for the GraphForge Qwen3.6-27B and Qwen3.6-35B-A3B SFT checkpoints. It is not the RFT matched-462 dataset and does not include second-round RFT data.

Corpus and construction

  • Training sequences: 2,169.
  • Distinct task IDs in this export: 2,169.
  • Distinct nonempty evidence-contract hashes: 2,150.
  • Teacher: GLM-5.2.
  • Admission: agent-judge score strictly greater than 0.90.
  • Sequence policy: preserve reasoning and tool interactions; discard overlength complete samples rather than truncate at 262,144 tokens.
  • Both released SFT models train on this corpus for three epochs.

GraphForge builds working-agent tasks from real files and compiles evidence graphs into task specifications and evidence-anchored rubrics. Initial execution and a single revision stage precede the final admitted trajectory export. An exported sequence is not necessarily a unique task or workspace.

Files and schema

  • data/train.jsonl contains one original-format training example per line.
  • dataset_info.json records counts, hashes, schema fields, and credential redactions.
  • Examples include messages and tool definitions, task prompts, reference-file descriptions, deliverable specifications, rubric criteria, and lineage metadata.

The original nested JSON schema is retained rather than flattened to prompt/response pairs. Local paths in trajectories describe the execution environment; they are not portable download links. A simple streaming reader is:

import json
with open("data/train.jsonl", encoding="utf-8") as stream:
    for line in stream:
        example = json.loads(line)
        messages = example["messages"]

Scope and privacy

This is a trajectory-only release. Original workspace attachments, generated binary deliverables, caches, and training logs are not bundled. Replaying tasks from scratch may require assets and tools absent from this repository.

The release copy was scanned for common API-token, credential-assignment, bearer, and webhook patterns. Matching values were replaced with [REDACTED_CREDENTIAL]. The total replacement count is 4. This is not a complete PII audit; transcripts can contain names, URLs, and third-party source excerpts. No original training file was modified. The source and release SHA-256 hashes are in dataset_info.json; different hashes indicate release-time redactions.

Rights and limitations

No blanket license for third-party source material is asserted by this card. Source documents and quoted material remain subject to their respective terms. A dataset-wide redistribution license has not been assigned in this package; the publisher must settle distribution rights and privacy review before making the repository public. The model repositories' Apache 2.0 metadata does not automatically apply to these trajectory contents.

These examples may contain erroneous reasoning, failed tool interactions, untrusted commands, or sensitive source-derived content. Do not execute tool calls blindly. The corpus does not guarantee factual accuracy or task success.

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