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"""XWinograd""" |
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import json |
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import pandas as pd |
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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_CITATION = """\ |
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@misc{tikhonov2021heads, |
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title={It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning}, |
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author={Alexey Tikhonov and Max Ryabinin}, |
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year={2021}, |
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eprint={2106.12066}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL} |
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} |
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""" |
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_DESCRIPTION = """\ |
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A multilingual collection of Winograd Schemas in six languages \ |
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that can be used for evaluation of cross-lingual commonsense reasoning capabilities. |
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""" |
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_URL = "https://huggingface.co/datasets/Muennighoff/xwinograd/resolve/main/data/xwinograd.tsv" |
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import json |
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import random |
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def winogrande_format(row): |
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array = row["pronoun"] |
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position_idx = json.loads(array)[1][0] |
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sent = str(u"{}".format(row["sent"])) |
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start_idx = 0 |
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for i, tok in enumerate(json.loads(row["toks"])): |
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tok = str(u"{}".format(tok)) |
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cur_start_idx = sent.find(tok) |
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if i == position_idx: |
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break |
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sent = sent[cur_start_idx + len(tok):] |
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start_idx += cur_start_idx + len(tok) |
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row["sentence"] = row["sent"][:start_idx] + row["sent"][start_idx:start_idx+len(tok)+1].replace(tok, "_") + row["sent"][start_idx+len(tok)+1:] |
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sol = json.loads(row["solution"]) |
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cor_answer_idx = random.choice([1, 2]) |
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incor_answer_idx = 2 if cor_answer_idx == 1 else 1 |
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cor_answer = str(u"{}".format(sol[0][0])) if sol[0][-1] == True else str(u"{}".format(sol[1][0])) |
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incor_answer = str(u"{}".format(sol[0][0])) if sol[0][-1] == False else str(u"{}".format(sol[1][0])) |
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row[f"option{cor_answer_idx}"] = cor_answer |
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row[f"option{incor_answer_idx}"] = incor_answer |
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row["answer"] = cor_answer_idx |
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return row |
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class XWinograd(datasets.GeneratorBasedBuilder): |
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"""XWinograd""" |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name="en", |
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version=VERSION, |
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description="X", |
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), |
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datasets.BuilderConfig( |
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name="fr", |
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version=VERSION, |
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description="X", |
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), |
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datasets.BuilderConfig( |
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name="jp", |
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version=VERSION, |
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description="X", |
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), |
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datasets.BuilderConfig( |
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name="pt", |
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version=VERSION, |
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description="X", |
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), |
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datasets.BuilderConfig( |
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name="ru", |
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version=VERSION, |
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description="X", |
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), |
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datasets.BuilderConfig( |
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name="zh", |
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version=VERSION, |
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description="X", |
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), |
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] |
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DEFAULT_CONFIG_NAME = "en" |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"sentence": datasets.Value("string"), |
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"option1": datasets.Value("string"), |
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"option2": datasets.Value("string"), |
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"answer": datasets.Value("string") |
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} |
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), |
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supervised_keys=None, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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downloaded_files = dl_manager.download_and_extract(_URL) |
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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={'filepath': downloaded_files} |
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) |
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] |
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def _generate_examples(self, filepath): |
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"""This function returns the examples in the raw (text) form.""" |
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logger.info("generating examples from = %s", filepath) |
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ds = pd.read_csv( |
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filepath, sep='\t', header=None, |
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names=["lang", "type", "original", "sent", "toks", "pronoun", "solution"] |
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) |
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if self.config.name: |
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ds = ds[ds["lang"] == self.config.name] |
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ds = ds.apply(winogrande_format, axis=1) |
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for idx, row in ds.iterrows(): |
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yield idx, { |
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"sentence": row["sentence"], |
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"option1": row["option1"], |
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"option2": row["option2"], |
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"answer": row["answer"], |
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} |
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