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Kiria-Nozan/TRIM-gpt-5.4-mini-comparison-only

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Hugging Face2026-04-20 更新2026-04-26 收录
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https://hf-mirror.com/datasets/Kiria-Nozan/TRIM-gpt-5.4-mini-comparison-only
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资源简介:
--- configs: - config_name: default data_files: - split: train path: "train/*.jsonl" --- # TRIM Agent Reasoning Messages (HF Public Export) This directory is a Hugging Face-friendly public export of the TRIM agent reasoning SFT data. ## What Is Included - Provider: `openrouter` - Model: `openai/gpt-5.4-mini` - SFT mode: `local_only` - Splits present: `train` - Records in this export manifest: `13716` - Tasks in this split: `AMES, BBB_Martins, Bioavailability_Ma, CYP2C9_Substrate_CarbonMangels, CYP2D6_Substrate_CarbonMangels, CYP3A4_Substrate_CarbonMangels, Carcinogens_Lagunin, ClinTox, DILI, HIA_Hou, PAMPA_NCATS, Pgp_Broccatelli, SARSCoV2_3CLPro_Diamond, SARSCoV2_Vitro_Touret, Skin_Reaction, hERG` ## Record Schema Each JSONL line is one training example with these top-level fields: - `schema_version` - `sft_mode` - `task` - `split` - `sample_index` - `sample_id` - `smiles` - `gt_label` - `final_answer_option` - `messages` The `messages` field stores a tool-augmented chat transcript, including nested `tool_calls` and the assistant `thinking` text used in the original SFT export. ## Public Sanitization - Local absolute `source_paths` have been removed from the sample records by default. - Task-level export metadata is stored under `metadata/manifest.json`. ## Loading Example ```python from datasets import load_dataset ds = load_dataset( "json", data_files={"train": "train/*.jsonl"}, ) ```
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