Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Size:
1K - 10K
License:
Update etpc.py
Browse files
etpc.py
CHANGED
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"""ETPC: The Extended Typology Paraphrase Corpus"""
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import os
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from typing import Dict, Generator,
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import datasets
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from datasets.tasks import TextClassification
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from lxml import etree
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logger = datasets.logging.get_logger(__name__)
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@@ -63,13 +62,22 @@ class ETPC(datasets.GeneratorBasedBuilder):
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def _info(self):
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features = datasets.Features(
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{
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"idx": datasets.Value("
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"sentence1": datasets.Value("string"),
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"sentence2": datasets.Value("string"),
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"etpc_label": datasets.Value("int8"),
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"mrpc_label": datasets.Value("int8"),
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"negation": datasets.Value("int8"),
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"
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}
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)
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@@ -101,26 +109,66 @@ class ETPC(datasets.GeneratorBasedBuilder):
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parser = etree.XMLParser(encoding="utf-8", recover=True)
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tree_text_pairs = etree.parse(text_pairs_path, parser=parser)
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tree_paraphrase_types = etree.parse(
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root_text_pairs = tree_text_pairs.getroot()
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root_paraphrase_types = tree_paraphrase_types.getroot()
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current_pair_id = row.find(".//pair_id").text
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paraphrase_types = root_paraphrase_types.xpath(
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f".//pair_id[text()='{current_pair_id}']/parent::relation/type_name/text()"
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)
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"""ETPC: The Extended Typology Paraphrase Corpus"""
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import os
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from typing import Any, Dict, Generator, List, Optional, Tuple, Union
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import datasets
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from datasets.tasks import TextClassification
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from lxml import etree
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logger = datasets.logging.get_logger(__name__)
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def _info(self):
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features = datasets.Features(
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{
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"idx": datasets.Value("string"),
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"sentence1": datasets.Value("string"),
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"sentence2": datasets.Value("string"),
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"etpc_label": datasets.Value("int8"),
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"mrpc_label": datasets.Value("int8"),
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"negation": datasets.Value("int8"),
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"paraphrase_type": datasets.Value("string"),
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"paraphrase_type_id": datasets.Value("int32"),
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"sentence1_phrase_span": datasets.Sequence(
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datasets.Value("int32")
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),
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"sentence2_phrase_span": datasets.Sequence(
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datasets.Value("int32")
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),
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"sentence1_phrase_text": datasets.Value("string"),
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"sentence2_phrase_text": datasets.Value("string"),
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}
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)
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parser = etree.XMLParser(encoding="utf-8", recover=True)
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tree_text_pairs = etree.parse(text_pairs_path, parser=parser)
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tree_paraphrase_types = etree.parse(
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paraphrase_types_path, parser=parser
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)
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root_text_pairs = tree_text_pairs.getroot()
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root_paraphrase_types = tree_paraphrase_types.getroot()
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idx = -1
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for row in root_text_pairs:
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current_pair_id = row.find(".//pair_id").text
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paraphrase_types = root_paraphrase_types.xpath(
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f".//pair_id[text()='{current_pair_id}']/parent::relation/type_name/text()"
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)
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paraphrase_type_ids = root_paraphrase_types.xpath(
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f".//pair_id[text()='{current_pair_id}']/parent::relation/type_id/text()"
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)
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sentence1_phrase_text = root_paraphrase_types.xpath(
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f".//pair_id[text()='{current_pair_id}']/parent::relation/s1_text/text()"
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)
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sentence2_phrase_text = root_paraphrase_types.xpath(
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f".//pair_id[text()='{current_pair_id}']/parent::relation/s2_text/text()"
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)
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sentence1_phrase_spans = root_paraphrase_types.xpath(
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f".//pair_id[text()='{current_pair_id}']/parent::relation/s1_scope/text()"
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)
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sentence2_phrase_spans = root_paraphrase_types.xpath(
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f".//pair_id[text()='{current_pair_id}']/parent::relation/s2_scope/text()"
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)
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for (
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paraphrase_type,
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paraphrase_type_id,
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sentence1_phrase_span,
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sentence2_phrase_span,
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sentence1_phrase_text,
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sentence2_phrase_text,
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) in zip(
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paraphrase_types,
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paraphrase_type_ids,
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sentence1_phrase_spans,
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sentence2_phrase_spans,
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sentence1_phrase_text,
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sentence2_phrase_text,
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):
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idx += 1
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yield idx, {
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"idx": row.find(".//pair_id").text
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+ "_"
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+ paraphrase_type_id
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+ "_"
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+ str(idx),
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"sentence1": row.find(".//sent1_raw").text,
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"sentence2": row.find(".//sent2_raw").text,
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"etpc_label": int(row.find(".//etpc_label").text),
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"mrpc_label": int(row.find(".//mrpc_label").text),
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"negation": int(row.find(".//negation").text),
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"paraphrase_type": paraphrase_type,
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"paraphrase_type_id": paraphrase_type_id,
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"sentence1_phrase_span": sentence1_phrase_span.split(","),
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"sentence2_phrase_span": sentence2_phrase_span.split(","),
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"sentence1_phrase_text": sentence1_phrase_text,
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"sentence2_phrase_text": sentence2_phrase_text,
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}
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