task_categories:question-answering size_categories:100K<n<1M language:es license:apache-2.0 region:us
---
dataset_info:
  features:
  - name: query
    dtype: string
  - name: positive
    dtype: string
  - name: negative
    dtype: string
  splits:
  - name: train
    num_bytes: 433633520
    num_examples: 500000
  download_size: 170119229
  dataset_size: 433633520
license: apache-2.0
task_categories:
- question-answering
language:
- es
size_categories:
- 100K<n<1M
---
# Dataset Card for "ms-marco-es-500k"

QA asymmetric Spanish dataset filtered from [multilingual version of MS Marco](https://huggingface.co/datasets/unicamp-dl/mmarco) and sampled on 500k rows.

```python
import datasets


ms_marco_es = datasets.load_dataset('unicamp-dl/mmarco', name='spanish', split='train')
ms_marco_es.select(range(500_000)).push_to_hub("dariolopez/ms-marco-es-500k", token=os.environ['hg_token'])
```