metadata
license: cc-by-nc-4.0
dataset_info:
features:
- name: paragraphs
list:
- name: context
dtype: string
- name: qas
list:
- name: answers
list:
- name: answer_start
dtype: int64
- name: text
dtype: string
- name: id
dtype: string
- name: is_impossible
dtype: bool
- name: plausible_answers
list:
- name: answer_start
dtype: int64
- name: text
dtype: string
- name: question
dtype: string
- name: title
dtype: string
splits:
- name: train
num_bytes: 29592954.256926954
num_examples: 395
download_size: 14743347
dataset_size: 29592954.256926954
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- token-classification
language:
- es
tags:
- legal
- chemistry
size_categories:
- 10K<n<100K
Esto e sun Dataset de ejemplo de la entrega 109 del curso de Inteligencia Artificial y BigData. Donde hemos descargado un dataset de un repositorio de github, lo hemos transformado y hemos vuelto a subir a un repositorio en HF.