hazyresearch/based-fda

---
language:
- en
dataset_info:
features:
- name: doc_id
dtype: string
- name: file_name
dtype: string
- name: key
dtype: string
- name: value
dtype: string
- name: text
dtype: string
splits:
- name: validation
num_bytes: 8498008
num_examples: 1102
download_size: 1381388
dataset_size: 8498008
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
task_categories:
- question-answering
- feature-extraction
---

This dataset is adapted from the paper [Language Models Enable Simple Systems for Generating
Structured Views of Heterogeneous Data Lakes](https://www.vldb.org/pvldb/vol17/p92-arora.pdf). You can learn more about the data collection process there.

Please consider citing the following if you use this task in your work:
```
@article{arora2024simple,
title={Simple linear attention language models balance the recall-throughput tradeoff},
author={Arora, Simran and Eyuboglu, Sabri and Zhang, Michael and Timalsina, Aman and Alberti, Silas and Zinsley, Dylan and Zou, James and Rudra, Atri and Ré, Christopher},
journal={arXiv:2402.18668},
year={2024}
}
```

This dataset is adapted from the paper Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. It is used for generating structured views of heterogeneous data lakes using language models. The dataset includes features such as doc_id, file_name, key, value, and text, and provides specific information for the validation split, including the number of bytes and examples.

原始信息汇总

数据集概述

数据集特征

• doc_id：数据类型为字符串。
• file_name：数据类型为字符串。
• key：数据类型为字符串。
• value：数据类型为字符串。
• text：数据类型为字符串。

数据集分割

• 验证集（validation）：
  • 数据量：8498008字节
  • 示例数量：1102个

数据集大小

• 下载大小：1381388字节
• 数据集总大小：8498008字节

配置

• 默认配置（default）：
  • 数据文件路径：data/validation-*

任务类别

• 问答
• 特征提取