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Browse files- ESCI-product-dataset.py +1 -26
- train.jsonl +0 -0
ESCI-product-dataset.py
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"""ESCI-product-dataset dataset."""
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import json
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import datasets
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_CITATION = """
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@misc{reddy2022shopping,
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title={Shopping Queries Dataset: A Large-Scale {ESCI} Benchmark for Improving Product Search},
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@@ -29,53 +27,30 @@ Arnab Biswas and Anlu Xing and Karthik Subbian},
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eprint={2206.06588},
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archivePrefix={arXiv}
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}
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}
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"""
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_DESCRIPTION = "dataset load script for ESCI-product-dataset recall"
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_DATASET_URLS = {
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'train': "https://huggingface.co/datasets/spacemanidol/ESCI-product-dataset/resolve/main/train.jsonl",
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}
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class ESCIproduct(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("0.0.1")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(version=VERSION,
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description="
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]
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def _info(self):
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features = datasets.Features({
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'query_id': datasets.Value('string'),
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'query': datasets.Value('string'),
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'query-inject-det': datasets.Value('string'),
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'query-stem': datasets.Value('string'),
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'query-synonym': datasets.Value('string'),
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'query-random-char-swap': datasets.Value('string'),
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'query-char-keyboard': datasets.Value('string'),
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'query-paraphrase': datasets.Value('string'),
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'query-reorder-words': datasets.Value('string'),
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'query-backtranslation': datasets.Value('string'),
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'query-char-delete': datasets.Value('string'),
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'query-lemmatize': datasets.Value('string')
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})
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return datasets.DatasetInfo(
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# This is the description that will appear on the datasets page.
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description=_DESCRIPTION,
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# This defines the different columns of the dataset and their types
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features=features, # Here we define them above because they are different between the two configurations
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supervised_keys=None,
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# Homepage of the dataset for documentation
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homepage="",
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# License for the dataset if available
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license="",
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# Citation for the dataset
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citation=_CITATION,
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)
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"""ESCI-product-dataset dataset."""
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import json
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import datasets
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_CITATION = """
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@misc{reddy2022shopping,
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title={Shopping Queries Dataset: A Large-Scale {ESCI} Benchmark for Improving Product Search},
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eprint={2206.06588},
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archivePrefix={arXiv}
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}
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"""
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_DESCRIPTION = "dataset load script for ESCI-product-dataset recall"
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_DATASET_URLS = {
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'train': "https://huggingface.co/datasets/spacemanidol/ESCI-product-dataset/resolve/main/train.jsonl",
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}
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class ESCIproduct(datasets.GeneratorBasedBuilder):
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VERSION = datasets.Version("0.0.1")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(version=VERSION,
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description="ESCI Produce Search train/dev/test datasets"),
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]
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def _info(self):
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features = datasets.Features({
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'query_id': datasets.Value('string'),
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'query': datasets.Value('string'),
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})
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features, # Here we define them above because they are different between the two configurations
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supervised_keys=None,
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homepage="",
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license="",
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citation=_CITATION,
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)
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train.jsonl
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