急性淋巴细胞白血病PubMed摘要数据集

数据集获取与加载（Hugging Face datasets）

# 前置依赖: pip install datasets
from datasets import load_dataset

ds = load_dataset("Gaborandi/Acute_Lymphoblastic_Leukemia_pubmed_abstracts")
print(ds)  # 查看 splits 与字段结构
# 国内网络可先设镜像: import os; os.environ["HF_ENDPOINT"]="https://hf-mirror.com"

git lfs install && git clone https://hf-mirror.com/datasets/Gaborandi/Acute_Lymphoblastic_Leukemia_pubmed_abstracts

仓库文件结构

• .gitattributes
• ALL.csv
• README.md

数据集卡片摘录（源站说明）

• This Dataset has been downloaded from PubMed
• It has abstracts and titles that are related to acute lymphoblastic leukemia
• the data has been cleaned before uploading
• it could be used for any NLP task, such as Domain Adaptation

数据加载示例（表格/文本类）

import pandas as pd, glob, os

files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))

完整数据卡：huggingface.co/datasets/Gaborandi/Acute_Lymphoblastic_Leukemia_pubmed_abstracts