dk-crazydiv commited on
Commit
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Adding Huggingface modelhub dataset

Browse files
.gitattributes CHANGED
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  *.pb filter=lfs diff=lfs merge=lfs -text
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  *.pt filter=lfs diff=lfs merge=lfs -text
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  *.pth filter=lfs diff=lfs merge=lfs -text
 
 
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  *.pb filter=lfs diff=lfs merge=lfs -text
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  *.pt filter=lfs diff=lfs merge=lfs -text
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  *.pth filter=lfs diff=lfs merge=lfs -text
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+ huggingface-modelhub.csv filter=lfs diff=lfs merge=lfs -text
dataset_infos.json ADDED
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+ {"default": {"description": "Metadata of the information available on HuggingFace's modelhub\n", "citation": "\n", "homepage": "https://huggingface.co/models", "license": "", "features": {"modelId": {"dtype": "string", "id": null, "_type": "Value"}, "lastModified": {"dtype": "string", "id": null, "_type": "Value"}, "tags": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "pipeline_tag": {"dtype": "string", "id": null, "_type": "Value"}, "files": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "publishedBy": {"dtype": "string", "id": null, "_type": "Value"}, "modelCard": {"dtype": "large_string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "hate_speech_offensive", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 21457237, "num_examples": 10354, "dataset_name": "hate_speech_offensive"}}, "download_checksums": {"huggingface-modelhub.csv": {"num_bytes": 21341037, "checksum": "53d63e7c4fab45592c34bf52927e397377be731cfed82568718bcba27523d85c"}}, "download_size": 21341037, "post_processing_size": null, "dataset_size": 21457237, "size_in_bytes": 42798274}}
dummy/1.0.0/dummy_data.zip ADDED
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dummy/1.0.0/dummy_data.zip.lock ADDED
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huggingface-modelhub.csv ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:53d63e7c4fab45592c34bf52927e397377be731cfed82568718bcba27523d85c
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+ size 21341037
huggingface-modelhub.py ADDED
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+ # coding=utf-8
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+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+ """Metadata of the information available on HuggingFace's modelhub."""
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+
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+
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+ import ast
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+ import csv
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+
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+ import datasets
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+ # Some readme files on modelhub are large in size
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+ csv.field_size_limit(100000000)
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+
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+ _CITATION = """\
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+
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+ """
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+
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+ _DESCRIPTION = """\
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+ Metadata of the information available on HuggingFace's modelhub
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+ """
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+
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+ _HOMEPAGE = "https://huggingface.co/models"
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+
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+ _LICENSE = ""
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+
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+ _URL = "huggingface-modelhub.csv"
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+
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+
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+
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+ class HuggingfaceModelhub(datasets.GeneratorBasedBuilder):
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+ """Metadata of the information available on HuggingFace's modelhub"""
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+
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+ VERSION = datasets.Version("1.0.0")
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+
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "modelId": datasets.Value("string"),
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+ "lastModified": datasets.Value("string"),
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+ "tags": datasets.features.Sequence(datasets.Value("string")),
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+ "pipeline_tag": datasets.Value("string"),
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+ "files": datasets.features.Sequence(datasets.Value("string")),
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+ "publishedBy": datasets.Value("string"),
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+ "modelCard": datasets.Value("large_string"),
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+ }
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+ ),
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+ homepage=_HOMEPAGE,
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+ license=_LICENSE,
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+ citation=_CITATION,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ """Returns SplitGenerators."""
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+
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+ data_file = dl_manager.download_and_extract(_URL)
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ gen_kwargs={
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+ "filepath": data_file,
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+ },
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+ ),
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+ ]
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+
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+ def _generate_examples(self, filepath):
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+ """Yields examples."""
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+
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+ with open(filepath, encoding="utf-8") as f:
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+ reader = csv.reader(f)
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+ for id_, row in enumerate(reader):
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+ if id_ == 0:
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+ continue
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+
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+ yield id_, {
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+ "modelId": row[0],
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+ "lastModified": row[1],
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+ "tags": ast.literal_eval(row[2]),
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+ "pipeline_tag": row[3],
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+ "files": ast.literal_eval(row[4]),
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+ "publishedBy": row[5],
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+ "modelCard": row[6]
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+ }