Simonkami/BvsALL_explained_selftrain
收藏Hugging Face2026-04-26 更新2026-05-03 收录
下载链接：
https://hf-mirror.com/datasets/Simonkami/BvsALL_explained_selftrain
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资源简介：
---
configs:
- config_name: default
data_files:
- split: train
path: train.jsonl
---
# BvsALL_explained_selftrain_round1_half_original
This dataset is a local mixed SFT dataset built from:
- Original dataset: `Simonkami/BvsALL_explained` split `train`
- Self-training file: `selftrain_good_samples_round1.jsonl`
## Mixing settings
- Original total: 8499
- Original used: 1699
- Original fraction: 0.2
- Original max samples: 0
- Selftrain raw total: 13490
- Selftrain valid: 13490
- Selftrain after action balance: 9674
- Selftrain used: 6796
- Target selftrain ratio: 0.8
- Actual selftrain ratio: 0.8000
- Max selftrain samples per action: 1000
- Final total: 8495
## Columns
- `instruction`
- `input`
- `output`
`train_with_meta.jsonl` contains extra `source` and `score` fields for inspection, but `train.jsonl` is the recommended file for SFT training.
提供机构：
Simonkami
