# 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'])
```
task_categories:question-answering size_categories:100K<n<1M language:es license:apache-2.0 region:us
{"language": ["es"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["question-answering"], "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}}
TAGS
#task_categories-question-answering #size_categories-100K<n<1M #language-Spanish #license-apache-2.0 #region-us 

# Dataset Card for "ms-marco-es-500k"

QA asymmetric Spanish dataset filtered from multilingual version of MS Marco and sampled on 500k rows.


# Dataset Card for "ms-marco-es-500k"

QA asymmetric Spanish dataset filtered from multilingual version of MS Marco and sampled on 500k rows.
TAGS
#task_categories-question-answering #size_categories-100K<n<1M #language-Spanish #license-apache-2.0 #region-us 
 # Dataset Card for "ms-marco-es-500k"

QA asymmetric Spanish dataset filtered from multilingual version of MS Marco and sampled on 500k rows.
passage: TAGS
#task_categories-question-answering #size_categories-100K<n<1M #language-Spanish #license-apache-2.0 #region-us 
# Dataset Card for "ms-marco-es-500k"

QA asymmetric Spanish dataset filtered from multilingual version of MS Marco and sampled on 500k rows.