Datasets:
File size: 3,157 Bytes
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language:
- en
license: apache-2.0
pretty_name: MedMCQA
size_categories:
- 10K<n<100K
source_datasets:
- openlifescienceai/medmcqa
task_categories:
- question-answering
- multiple-choice
tags:
- medical
- medmcqa
dataset_info:
- config_name: sft
features:
- name: prompt
dtype: string
- name: answer
dtype: string
splits:
- name: train
num_examples: 20000
- name: validation
num_examples: 200
- config_name: train
splits:
- name: train
num_examples: 20000
- config_name: validation
splits:
- name: validation
num_examples: 200
- config_name: mia_members
splits:
- name: train
num_examples: 2000
- config_name: mia_nonmembers
splits:
- name: train
num_examples: 2000
- config_name: filtered
splits:
- name: train
num_examples: 84403
configs:
- config_name: sft
data_files:
- split: train
path: sft/sft_train_20000.jsonl
- split: validation
path: sft/sft_validation_200.jsonl
- config_name: train
data_files:
- split: train
path: train_20000.jsonl
- config_name: validation
data_files:
- split: validation
path: validation_200.jsonl
- config_name: mia_members
data_files:
- split: train
path: mia_members_2000.jsonl
- config_name: mia_nonmembers
data_files:
- split: train
path: mia_nonmembers_2000.jsonl
- config_name: filtered
data_files:
- split: train
path: medmcqa_filtered.parquet
---
# MedMCQA
由 [openlifescienceai/medmcqa](https://huggingface.co/datasets/openlifescienceai/medmcqa) 的 train split 清洗、去重后划分得到。上游许可证为 Apache-2.0。
默认配置 `sft` 可直接用于监督微调。`answer` 是完整解答加正确选项字母，不是单独的选项标签。
```python
from datasets import load_dataset
sft = load_dataset("HaolinRPI/medmcqa", "sft")
train = load_dataset("HaolinRPI/medmcqa", "train", split="train")
validation = load_dataset("HaolinRPI/medmcqa", "validation", split="validation")
members = load_dataset("HaolinRPI/medmcqa", "mia_members", split="train")
nonmembers = load_dataset("HaolinRPI/medmcqa", "mia_nonmembers", split="train")
filtered = load_dataset("HaolinRPI/medmcqa", "filtered", split="train")
```
## 划分
Training、MIA Non-member 和 Validation 的规范化 Question 互不重叠。MIA Member 是 Training 的子集。随机种子是 42。完整统计见 `split_manifest.json`。
| 文件 | 条数 | 用途 |
|---|---:|---|
| `sft/sft_train_20000.jsonl` | 20,000 | SFT 训练集，只含 `prompt` 和 `answer` |
| `sft/sft_validation_200.jsonl` | 200 | SFT 验证集，只含 `prompt` 和 `answer` |
| `train_20000.jsonl` | 20,000 | 训练样本，保留原始字段 |
| `mia_members_2000.jsonl` | 2,000 | Training 内部的 MIA Member |
| `mia_nonmembers_2000.jsonl` | 2,000 | 不参与训练的 MIA Non-member |
| `validation_200.jsonl` | 200 | 独立验证样本 |
| `medmcqa_filtered.parquet` | 84,403 | 全部合格记录，含未使用样本 |
## SFT 文本
`prompt` 由题干、A–D 选项和指令 “Answer with the letter of the correct option.” 组成。`answer` 由解释和正确选项字母组成，字母单独占最后一行。
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