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Parent(s):
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Upload facqa.py with huggingface_hub
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facqa.py
CHANGED
@@ -5,10 +5,10 @@ from typing import Dict, List, Tuple
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import datasets
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import pandas as pd
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from
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from
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from
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from
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_CITATION = """
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@inproceedings{purwarianti2007machine,
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@@ -48,28 +48,28 @@ _SUPPORTED_TASKS = [Tasks.QUESTION_ANSWERING]
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_SOURCE_VERSION = "1.0.0"
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class FacqaDataset(datasets.GeneratorBasedBuilder):
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"""FacQA dataset is a labeled dataset for indonesian question answering task"""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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BUILDER_CONFIGS = [
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name="facqa_source",
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version=SOURCE_VERSION,
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description="FacQA source schema",
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schema="source",
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subset_id="facqa",
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),
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name="
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version=
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description="FacQA Nusantara schema",
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schema="
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subset_id="facqa",
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),
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]
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@@ -86,7 +86,7 @@ class FacqaDataset(datasets.GeneratorBasedBuilder):
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"seq_label": [datasets.Value("string")],
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}
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)
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elif self.config.schema == "
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features = schemas.qa_features
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return datasets.DatasetInfo(
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@@ -140,7 +140,7 @@ class FacqaDataset(datasets.GeneratorBasedBuilder):
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entry = {"index": row.index, "question": ast.literal_eval(row.question), "passage": ast.literal_eval(row.passage), "seq_label": ast.literal_eval(row.seq_label)}
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yield row.index, entry
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elif self.config.schema == "
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for row in df.itertuples():
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entry = {
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"id": str(row.index),
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@@ -151,5 +151,6 @@ class FacqaDataset(datasets.GeneratorBasedBuilder):
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"choices": [],
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"context": listToString(ast.literal_eval(row.passage)),
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"answer": [getAnswerString(ast.literal_eval(row.passage), ast.literal_eval(row.seq_label))],
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}
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yield row.index, entry
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import datasets
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import pandas as pd
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from seacrowd.sea_datasets.facqa.utils.facqa_utils import (getAnswerString, listToString)
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from seacrowd.utils import schemas
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from seacrowd.utils.configs import SEACrowdConfig
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from seacrowd.utils.constants import Tasks
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_CITATION = """
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@inproceedings{purwarianti2007machine,
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class FacqaDataset(datasets.GeneratorBasedBuilder):
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"""FacQA dataset is a labeled dataset for indonesian question answering task"""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
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BUILDER_CONFIGS = [
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SEACrowdConfig(
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name="facqa_source",
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version=SOURCE_VERSION,
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description="FacQA source schema",
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schema="source",
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subset_id="facqa",
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),
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SEACrowdConfig(
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name="facqa_seacrowd_qa",
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version=SEACROWD_VERSION,
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description="FacQA Nusantara schema",
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schema="seacrowd_qa",
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subset_id="facqa",
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),
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]
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"seq_label": [datasets.Value("string")],
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}
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)
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elif self.config.schema == "seacrowd_qa":
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features = schemas.qa_features
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return datasets.DatasetInfo(
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entry = {"index": row.index, "question": ast.literal_eval(row.question), "passage": ast.literal_eval(row.passage), "seq_label": ast.literal_eval(row.seq_label)}
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yield row.index, entry
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elif self.config.schema == "seacrowd_qa":
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for row in df.itertuples():
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entry = {
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"id": str(row.index),
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"choices": [],
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"context": listToString(ast.literal_eval(row.passage)),
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"answer": [getAnswerString(ast.literal_eval(row.passage), ast.literal_eval(row.seq_label))],
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"meta": {}
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}
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yield row.index, entry
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