| import gzip |
| import json |
| import datasets |
|
|
| _URLS = { |
| "csl": "https://huggingface.co/datasets/neuclir/csl/resolve/main/data/csl.jsonl.gz", |
| "en_translation": "https://huggingface.co/datasets/neuclir/csl/resolve/main/data/csl.gt.063023.jsonl.gz", |
| } |
|
|
| class Csl(datasets.GeneratorBasedBuilder): |
| VERSION = datasets.Version("1.1.1") |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| features=datasets.Features({ |
| "doc_id": datasets.Value("string"), |
| "title": datasets.Value("string"), |
| "abstract": datasets.Value("string"), |
| "keywords": datasets.Sequence(feature=datasets.Value("string"), length=-1), |
| "category": datasets.Value("string"), |
| "category_eng": datasets.Value("string"), |
| "discipline": datasets.Value("string"), |
| "discipline_eng": datasets.Value("string"), |
| }), |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| paths = dl_manager.download(_URLS) |
| return [ |
| datasets.SplitGenerator( |
| name=split, |
| gen_kwargs={ |
| "filepath": paths[split], |
| }) |
| for split in _URLS |
| ] |
|
|
| def _generate_examples(self, filepath): |
| with gzip.open(filepath) as f: |
| for key, row in enumerate(f): |
| data = json.loads(row) |
| if "category_eng" not in data: |
| data["category_eng"] = "" |
| data["discipline_eng"] = "" |
| yield key, data |
|
|
