Upload indosum.py with huggingface_hub
Browse files- indosum.py +12 -12
indosum.py
CHANGED
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@@ -4,9 +4,9 @@ from typing import Dict, List, Tuple
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import datasets
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from
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from
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from
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import jsonlines
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from nltk.tokenize.treebank import TreebankWordDetokenizer
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@@ -43,18 +43,18 @@ _SUPPORTED_TASKS = [Tasks.SUMMARIZATION]
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_SOURCE_VERSION = "1.0.0"
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class IndoSUM(datasets.GeneratorBasedBuilder):
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"""INDOSUM is a new benchmark dataset for Indonesian text summarization. The dataset consists of news articles and manually constructed summaries."""
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SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
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BUILDER_CONFIGS = (
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[
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name="indosum_fold{fold_number}_source".format(fold_number=i),
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version=_SOURCE_VERSION,
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description="indosum source schema",
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@@ -64,11 +64,11 @@ class IndoSUM(datasets.GeneratorBasedBuilder):
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]
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[
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name="indosum_fold{fold_number}
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version=
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description="indosum Nusantara schema",
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schema="
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subset_id="indosum_fold{fold_number}".format(fold_number=i),
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) for i in range(5)
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]
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@@ -88,7 +88,7 @@ class IndoSUM(datasets.GeneratorBasedBuilder):
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}
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)
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elif self.config.schema == "
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features = schemas.text2text_features
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return datasets.DatasetInfo(
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@@ -189,7 +189,7 @@ class IndoSUM(datasets.GeneratorBasedBuilder):
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yield i, ex
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i+=1
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elif self.config.schema == "
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i = 0
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with jsonlines.open(filepath) as f:
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for each_data in f.iter():
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import datasets
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from seacrowd.utils.configs import SEACrowdConfig
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from seacrowd.utils.constants import Tasks
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from seacrowd.utils import schemas
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import jsonlines
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from nltk.tokenize.treebank import TreebankWordDetokenizer
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_SOURCE_VERSION = "1.0.0"
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_SEACROWD_VERSION = "2024.06.20"
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class IndoSUM(datasets.GeneratorBasedBuilder):
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"""INDOSUM is a new benchmark dataset for Indonesian text summarization. The dataset consists of news articles and manually constructed summaries."""
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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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[
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SEACrowdConfig(
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name="indosum_fold{fold_number}_source".format(fold_number=i),
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version=_SOURCE_VERSION,
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description="indosum source schema",
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]
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[
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SEACrowdConfig(
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name="indosum_fold{fold_number}_seacrowd_t2t".format(fold_number=i),
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version=_SEACROWD_VERSION,
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description="indosum Nusantara schema",
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schema="seacrowd_t2t",
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subset_id="indosum_fold{fold_number}".format(fold_number=i),
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) for i in range(5)
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]
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}
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)
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elif self.config.schema == "seacrowd_t2t":
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features = schemas.text2text_features
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return datasets.DatasetInfo(
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yield i, ex
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i+=1
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elif self.config.schema == "seacrowd_t2t":
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i = 0
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with jsonlines.open(filepath) as f:
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for each_data in f.iter():
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