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xwinograd.py

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+# coding=utf-8
+
+# Lint as: python3
+"""XWinograd"""
+
+
+import json
+
+import pandas as pd
+
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = """\
+@misc{tikhonov2021heads,
+    title={It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning},
+    author={Alexey Tikhonov and Max Ryabinin},
+    year={2021},
+    eprint={2106.12066},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+"""
+
+_DESCRIPTION = """\
+A multilingual collection of Winograd Schemas in six languages \
+that can be used for evaluation of cross-lingual commonsense reasoning capabilities.
+"""
+
+
+#_URL = "https://github.com/yandex-research/crosslingual_winograd/blob/main/dataset.tsv"
+_URL = "https://huggingface.co/datasets/muennighoff/xwinograd/resolve/main/data/mt/dataset.tsv"
+
+import json
+import random
+
+def winogrande_format(row):
+    array = row["pronoun"]
+    position_idx = json.loads(array)[1][0]
+    # Turn unicode into proper chinese characters
+    sent = str(u"{}".format(row["sent"]))
+    start_idx = 0
+    for i, tok in enumerate(json.loads(row["toks"])):
+        tok = str(u"{}".format(tok))
+        cur_start_idx = sent.find(tok)
+        if i == position_idx:
+            break
+        sent = sent[cur_start_idx + len(tok):]
+        start_idx += cur_start_idx + len(tok)
+    # +1 to give room for an optional space
+    row["sentence"] = row["sent"][:start_idx] + row["sent"][start_idx:start_idx+len(tok)+1].replace(tok, "_") + row["sent"][start_idx+len(tok)+1:]
+
+    sol = json.loads(row["solution"])
+
+    cor_answer_idx = random.choice([1, 2])
+    incor_answer_idx = 2 if cor_answer_idx == 1 else 1
+
+    cor_answer = str(u"{}".format(sol[0][0])) if sol[0][-1] == True else str(u"{}".format(sol[1][0]))
+    incor_answer = str(u"{}".format(sol[0][0])) if sol[0][-1] == False else str(u"{}".format(sol[1][0]))
+
+    row[f"option{cor_answer_idx}"] = cor_answer
+    row[f"option{incor_answer_idx}"] = incor_answer
+    row["answer"] = cor_answer_idx
+    return row
+
+
+class XWinograd(datasets.GeneratorBasedBuilder):
+    """XWinograd"""
+
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="en",
+            version=VERSION,
+            description="X",
+        ),
+        datasets.BuilderConfig(
+            name="fr",
+            version=VERSION,
+            description="X",
+        ),
+        datasets.BuilderConfig(
+            name="jp",
+            version=VERSION,
+            description="X",
+        ),
+        datasets.BuilderConfig(
+            name="pt",
+            version=VERSION,
+            description="X",
+        ),
+        datasets.BuilderConfig(
+            name="ru",
+            version=VERSION,
+            description="X",
+        ),
+        datasets.BuilderConfig(
+            name="zh",
+            version=VERSION,
+            description="X",
+        ),
+    ]
+    DEFAULT_CONFIG_NAME = "en"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "sentence": datasets.Value("string"),
+                    "option1": datasets.Value("string"),
+                    "option2": datasets.Value("string"),
+                    "answer": datasets.Value("string")
+                }
+            ),
+            supervised_keys=None,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        ds = pd.read_csv(
+            filepath, sep='\t', header=None, 
+            names=["lang", "type", "original", "sent", "toks", "pronoun", "solution"]
+        )
+        if self.config.name:
+            ds = ds[ds["lang"] == self.config.name]
+        ds = ds.apply(winogrande_format, axis=1)
+
+        for idx, row in ds.iterrows():
+            yield idx, {
+                "sentence": row["sentence"],
+                "option1": row["option1"],
+                "option2": row["option2"],
+                "answer": row["answer"],
+            }
+