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Browse files- scicite.py +44 -44
scicite.py
CHANGED
@@ -183,52 +183,52 @@ class SciciteDataset(datasets.GeneratorBasedBuilder):
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examples = [json.loads(line) for line in file]
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break
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for example in examples:
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example["unique_id"] = example["unique_id"] + "_duplicate"
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else:
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"citingPaperId": str(example["citingPaperId"]),
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"citedPaperId": str(example["citedPaperId"]),
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"excerpt_index": int(example["excerpt_index"]),
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"isKeyCitation": bool(example["isKeyCitation"]),
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"label2": str(example.get("label2", "none")),
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"citeEnd": _safe_int(example["citeEnd"]),
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"citeStart": _safe_int(example["citeStart"]),
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"source": str(example["source"]),
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"label_confidence": float(
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example.get("label_confidence", np.nan)
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),
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"label2_confidence": float(
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example.get("label2_confidence", np.nan)
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),
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"id": str(example["id"]),
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"unique_id": str(example["unique_id"]),
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}
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elif self.config.schema == "bigbio_text":
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for example in examples:
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if "label2" in example:
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labels = [example["label"], example["label2"]]
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else:
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labels = [example["label"]]
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yield str(example["unique_id"]), {
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"id": example["unique_id"],
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"document_id": example["citingPaperId"],
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"text": example["string"],
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"labels": labels,
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}
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def _safe_int(a):
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examples = [json.loads(line) for line in file]
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break
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# Preprocesses examples
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keys = set()
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for example in examples:
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# Fixes duplicate keys
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if example["unique_id"] in keys:
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example["unique_id"] = example["unique_id"] + "_duplicate"
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else:
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keys.add(example["unique_id"])
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if self.config.schema == "source":
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for example in examples:
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yield str(example["unique_id"]), {
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"string": example["string"],
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"label": str(example["label"]),
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"sectionName": str(example["sectionName"]),
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"citingPaperId": str(example["citingPaperId"]),
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"citedPaperId": str(example["citedPaperId"]),
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"excerpt_index": int(example["excerpt_index"]),
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"isKeyCitation": bool(example["isKeyCitation"]),
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"label2": str(example.get("label2", "none")),
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"citeEnd": _safe_int(example["citeEnd"]),
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"citeStart": _safe_int(example["citeStart"]),
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"source": str(example["source"]),
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"label_confidence": float(
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example.get("label_confidence", np.nan)
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),
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"label2_confidence": float(
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example.get("label2_confidence", np.nan)
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),
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"id": str(example["id"]),
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"unique_id": str(example["unique_id"]),
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}
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elif self.config.schema == "bigbio_text":
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for example in examples:
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if "label2" in example:
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labels = [example["label"], example["label2"]]
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else:
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labels = [example["label"]]
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yield str(example["unique_id"]), {
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"id": example["unique_id"],
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"document_id": example["citingPaperId"],
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"text": example["string"],
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"labels": labels,
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}
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def _safe_int(a):
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