Datasets:
update with error management
Browse files- alloprof.py +10 -6
alloprof.py
CHANGED
@@ -37,11 +37,12 @@ For more information about the data source and the features, please refer to the
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This re-edition of the dataset has been made for easier usage in the MTEB benchmarking pipeline. (https://huggingface.co/spaces/mteb/leaderboard). It is a filtered version of the original dataset, in a more ready-to-use format.
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"""
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_HOMEPAGE = "https://huggingface.co/datasets/antoinelb7/alloprof"
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_LICENSE = "Creative Commons Attribution Non Commercial Share Alike 4.0 International"
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_URLS = {
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-
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-
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}
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class Alloprof(datasets.GeneratorBasedBuilder):
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@@ -52,6 +53,9 @@ class Alloprof(datasets.GeneratorBasedBuilder):
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datasets.BuilderConfig(name="documents", version=VERSION, description="Corpus of documents from the Alloprof website"),
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datasets.BuilderConfig(name="queries", version=VERSION, description="Corpus of queries from students"),
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]
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DEFAULT_CONFIG_NAME = "documents"
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def _info(self):
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@@ -71,7 +75,7 @@ class Alloprof(datasets.GeneratorBasedBuilder):
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"subject": datasets.Value("string"),
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}
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else:
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raise ValueError(f"
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(features),
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@@ -89,7 +93,7 @@ class Alloprof(datasets.GeneratorBasedBuilder):
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dl_paths = dl_manager.download_and_extract(_URLS["queries"])
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return [datasets.SplitGenerator(name="queries", gen_kwargs={"filepath": dl_paths})]
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else:
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raise ValueError(f"
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def _generate_examples(self, filepath):
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@@ -113,7 +117,7 @@ class Alloprof(datasets.GeneratorBasedBuilder):
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"subject": row["subject"],
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}
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else:
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raise ValueError(f"
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yield key, features
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else:
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-
raise ValueError(f"
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This re-edition of the dataset has been made for easier usage in the MTEB benchmarking pipeline. (https://huggingface.co/spaces/mteb/leaderboard). It is a filtered version of the original dataset, in a more ready-to-use format.
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"""
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+
_SPLITS = ["documents", "queries"]
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_HOMEPAGE = "https://huggingface.co/datasets/antoinelb7/alloprof"
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_LICENSE = "Creative Commons Attribution Non Commercial Share Alike 4.0 International"
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_URLS = {
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split: f"https://huggingface.co/datasets/lyon-nlp/alloprof/resolve/main/{split}.json"\
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for split in _SPLITS
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}
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class Alloprof(datasets.GeneratorBasedBuilder):
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datasets.BuilderConfig(name="documents", version=VERSION, description="Corpus of documents from the Alloprof website"),
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datasets.BuilderConfig(name="queries", version=VERSION, description="Corpus of queries from students"),
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]
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+
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# Avoid setting default config so that an error is raised asking the user
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# to specify the piece of the dataset wanted
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DEFAULT_CONFIG_NAME = "documents"
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def _info(self):
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"subject": datasets.Value("string"),
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}
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else:
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raise ValueError(f"Please specify a valid config name : {_SPLITS}")
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(features),
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dl_paths = dl_manager.download_and_extract(_URLS["queries"])
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return [datasets.SplitGenerator(name="queries", gen_kwargs={"filepath": dl_paths})]
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else:
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raise ValueError(f"Please specify a valid config name : {_SPLITS}")
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def _generate_examples(self, filepath):
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"subject": row["subject"],
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}
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else:
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raise ValueError(f"Please specify a valid config name : {_SPLITS}")
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yield key, features
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else:
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raise ValueError(f"Please specify a valid config name : {_SPLITS}")
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