| | 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 |
| |
|
