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---
license: apache-2.0
task_categories:
- information-retrieval
- text-retrieval
tags:
- beir
- webis-touche2020
- information-retrieval
- retrieval
- search
configs:
- config_name: corpus
data_files:
- split: train
path: corpus/train-*
- config_name: queries
data_files:
- split: train
path: queries/train-*
dataset_info:
- config_name: corpus
features:
- name: title
dtype: string
- name: metadata
struct:
- name: stance
dtype: string
- name: url
dtype: string
- name: text
dtype: string
- name: _id
dtype: string
splits:
- name: train
num_bytes: 711947232
num_examples: 382545
download_size: 359095154
dataset_size: 711947232
- config_name: queries
features:
- name: text
dtype: string
- name: metadata
struct:
- name: description
dtype: string
- name: narrative
dtype: string
- name: _id
dtype: string
splits:
- name: train
num_bytes: 25863
num_examples: 49
download_size: 19102
dataset_size: 25863
---
# BEIR WEBIS-TOUCHE2020 Dataset (Migrated)
This is a migrated version of BeIR/webis-touche2020 that is compatible with datasets library 4.0.0+.
## Dataset Description
This dataset contains the webis-touche2020 dataset from the BEIR benchmark, converted from the old script-based format to Parquet format.
## Dataset Structure
### Queries
- **Split 'queries'**: 49 examples
- Features: ['_id', 'text', 'metadata']
- **Total examples**: 49
### Corpus
- **Split 'corpus'**: 382,545 examples
- Features: ['_id', 'title', 'text', 'metadata']
- **Total examples**: 382,545
## Usage
```python
from datasets import load_dataset
# Load queries (split: queries)
queries = load_dataset("Hyukkyu/beir-touche-2020", "queries", split="queries")
# Load corpus (split: corpus)
corpus = load_dataset("Hyukkyu/beir-touche-2020", "corpus", split="corpus")
```
## Available Splits
### Queries
- `queries`: 49 examples
### Corpus
- `corpus`: 382,545 examples
## Original Dataset
This dataset is migrated from: BeIR/webis-touche2020
## Citation
If you use this dataset, please cite the original BEIR paper:
```bibtex
@article{thakur2021beir,
title={BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models},
author={Thakur, Nandan and Reimers, Nils and Ruckle, Andreas and Srivastava, Abhishek and Gurevych, Iryna},
journal={arXiv preprint arXiv:2104.08663},
year={2021}
}
```
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