Datasets:
Tasks:
Text Retrieval
Sub-tasks:
document-retrieval
Size Categories:
100K<n<1M
Annotations Creators:
no-annotation
Source Datasets:
extended|csl
Tags:
License:
| 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 | |