| | import os |
| |
|
| | import datasets |
| | import json |
| |
|
| |
|
| | _DESCRIPTION = """empty""" |
| |
|
| | _HOMEPAGE = "empty" |
| |
|
| | _URL = r"https://hf-mirror.com/datasets/linggm/MiniLongBench/resolve/main/data.zip" |
| |
|
| |
|
| | task_list = [ |
| | "narrativeqa", |
| | "qasper", |
| | "multifieldqa_en", |
| | "multifieldqa_zh", |
| | "hotpotqa", |
| | "2wikimqa", |
| | "musique", |
| | "dureader", |
| | "gov_report", |
| | "qmsum", |
| | "multi_news", |
| | "vcsum", |
| | "trec", |
| | "triviaqa", |
| | "samsum", |
| | "lsht", |
| | "passage_count", |
| | "passage_retrieval_en", |
| | "passage_retrieval_zh", |
| | "lcc", |
| | "repobench-p", |
| | "qasper_e", |
| | "multifieldqa_en_e", |
| | "hotpotqa_e", |
| | "2wikimqa_e", |
| | "gov_report_e", |
| | "multi_news_e", |
| | "trec_e", |
| | "triviaqa_e", |
| | "samsum_e", |
| | "passage_count_e", |
| | "passage_retrieval_en_e", |
| | "lcc_e", |
| | "repobench-p_e" |
| | ] |
| |
|
| |
|
| | class MiniLongBenchConfig(datasets.BuilderConfig): |
| | def __init__(self, **kwargs): |
| | super().__init__(version=datasets.Version("1.0.0"), **kwargs) |
| |
|
| |
|
| | class MiniLongBench(datasets.GeneratorBasedBuilder): |
| | BUILDER_CONFIGS = [ |
| | MiniLongBenchConfig( |
| | name=task_name, |
| | ) |
| | for task_name in task_list |
| | ] |
| |
|
| | def _info(self): |
| | features = datasets.Features( |
| | { |
| | "input": datasets.Value("string"), |
| | "context": datasets.Value("string"), |
| | "answers": [datasets.Value("string")], |
| | "length": datasets.Value("int32"), |
| | "dataset": datasets.Value("string"), |
| | "language": datasets.Value("string"), |
| | "all_classes": [datasets.Value("string")], |
| | "_id": datasets.Value("string"), |
| | } |
| | ) |
| | return datasets.DatasetInfo( |
| | description=_DESCRIPTION, |
| | features=features, |
| | homepage=_HOMEPAGE, |
| | ) |
| |
|
| | def _split_generators(self, dl_manager): |
| | |
| | data_dir = 'YOUR_LOCAL_DIR' |
| | task_name = self.config.name |
| | return [ |
| | datasets.SplitGenerator( |
| | name=datasets.Split.TEST, |
| | gen_kwargs={ |
| | "filepath": os.path.join( |
| | data_dir, "data", f"{task_name}.jsonl" |
| | ), |
| | }, |
| | ) |
| | ] |
| |
|
| | def _generate_examples(self, filepath): |
| | with open(filepath, encoding="utf-8") as f: |
| | for idx, line in enumerate(f): |
| | key = f"{self.config.name}-{idx}" |
| | item = json.loads(line) |
| | yield key, { |
| | "input": item["input"], |
| | "context": item["context"], |
| | "answers": item["answers"], |
| | "length": item["length"], |
| | "dataset": item["dataset"], |
| | "language": item["language"], |
| | "_id": item["_id"], |
| | "all_classes": item["all_classes"], |
| | } |
| |
|
