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import os |
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import datasets |
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import json |
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_DESCRIPTION = ( |
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"M4LE is a systematic and comprehensive long-context benchmark. It aims to" |
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" evaluate LM performances in five long-context understanding abilities," |
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" across multiple domains, languages and task types." |
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) |
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_HOMEPAGE = "https://github.com/KwanWaiChung/M4LE" |
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_LICENSE = """MIT License |
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Copyright (c) 2023 Wai-Chung Kwan |
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Permission is hereby granted, free of charge, to any person obtaining a copy |
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of this software and associated documentation files (the "Software"), to deal |
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in the Software without restriction, including without limitation the rights |
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell |
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copies of the Software, and to permit persons to whom the Software is |
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furnished to do so, subject to the following conditions: |
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The above copyright notice and this permission notice shall be included in all |
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copies or substantial portions of the Software. |
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
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SOFTWARE.""" |
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URL = r"https://huggingface.co/datasets/wckwan/M4LE/resolve/main/data.zip" |
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tasks = [ |
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"arxiv", |
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"bigpatent_global_cls", |
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"bigpatent_global_sum", |
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"booksum", |
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"c3", |
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"cepsum", |
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"clts+", |
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"cnewsum", |
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"cnnnews", |
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"drcd_explicit-single", |
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"drcd_semantic-single", |
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"duorc", |
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"dureader", |
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"hotpotqa", |
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"lcsts", |
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"marc", |
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"mnds-news_explicit-single", |
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"mnds-news_explicit-multiple", |
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"mnds-news_semantic-multiple", |
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"ncls", |
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"news-commentary-en2zh", |
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"news-commentary-zh2en", |
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"news2016", |
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"newsqa", |
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"nq-open", |
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"online-shopping", |
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"open-subtitles-en2zh", |
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"open-subtitles-zh2en", |
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"pubmed", |
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"tedtalks-en2zh", |
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"tedtalks-zh2en", |
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"thucnews_explicit-single", |
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"thucnews_explicit-multiple", |
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"thucnews_semantic-multiple", |
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"triviaqa", |
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"wiki2019zh", |
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"wikihow", |
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"wikitext-103", |
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"wow", |
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] |
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class M4LEConfig(datasets.BuilderConfig): |
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def __init__(self, **kwargs): |
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super().__init__(version=datasets.Version("1.0.0"), **kwargs) |
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class LongBench(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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M4LEConfig( |
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name=task, |
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) |
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for task in tasks |
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] |
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def _info(self): |
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features = datasets.Features( |
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{ |
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"instruction": datasets.Value("string"), |
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"input": datasets.Value("string"), |
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"answers": [datasets.Value("string")], |
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"input_length": datasets.Value("int32"), |
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"total_length": datasets.Value("int32"), |
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"length_bucket": datasets.Value("int32"), |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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) |
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def _split_generators(self, dl_manager): |
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data_dir = dl_manager.download_and_extract(URL) |
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task_name = self.config.name |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={ |
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"filepath": os.path.join( |
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data_dir, "data", f"{task_name}.jsonl" |
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), |
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}, |
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) |
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] |
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def _generate_examples(self, filepath): |
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with open(filepath, encoding="utf-8") as f: |
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for idx, line in enumerate(f): |
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key = f"{self.config.name}-{idx}" |
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item = json.loads(line) |
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yield key, { |
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"instruction": item["instruction"], |
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"input": item["input"], |
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"answers": item["answers"], |
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"input_length": item["input_length"], |
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"total_length": item["total_length"], |
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"length_bucket": item["length_bucket"], |
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} |
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