Datasets:
Tasks:
Text Retrieval
Sub-tasks:
document-retrieval
Multilinguality:
multilingual
Size Categories:
1M<n<10M
Language Creators:
found
Annotations Creators:
no-annotation
Source Datasets:
extended|c4
ArXiv:
Tags:
License:
| import gzip | |
| import json | |
| import os | |
| import datasets | |
| _BASE_URL = "https://huggingface.co/datasets/neuclir/hc4/resolve/main/data/" | |
| _URLS = { | |
| "fas": _BASE_URL + "fas-00000-of-00001.jsonl.gz", | |
| "rus": _BASE_URL + "rus-00000-of-00001.jsonl.gz", | |
| "zho": _BASE_URL + "zho-00000-of-00001.jsonl.gz", | |
| } | |
| class Hc4(datasets.GeneratorBasedBuilder): | |
| VERSION = datasets.Version("1.0.2") | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| features=datasets.Features({ | |
| "id": datasets.Value("string"), | |
| "cc_file": datasets.Value("string"), | |
| "time": datasets.Value("string"), | |
| "title": datasets.Value("string"), | |
| "text": datasets.Value("string"), | |
| "url": datasets.Value("string"), | |
| }), | |
| ) | |
| def _split_generators(self, dl_manager): | |
| paths = dl_manager.download(_URLS) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=lang, | |
| gen_kwargs={ | |
| "filepath": paths[lang] | |
| }) | |
| for lang in _URLS | |
| ] | |
| def _generate_examples(self, filepath): | |
| with gzip.open(filepath) as f: | |
| for key, row in enumerate(f): | |
| data = json.loads(row) | |
| yield key, data | |