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---
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: 4651754
num_examples: 1111
download_size: 1824942
dataset_size: 4651754
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}
}
```
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