---
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}
}
```