Kiria-Nozan/TRIM-gpt-5.4-mini-comparison-only
收藏Hugging Face2026-04-20 更新2026-04-26 收录
下载链接:
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"},
)
```
提供机构:
Kiria-Nozan



