Convert dataset to Parquet

#2
by albertvillanova HF staff - opened
README.md CHANGED
@@ -42,10 +42,15 @@ dataset_info:
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  dtype: string
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  splits:
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  - name: train
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- num_bytes: 3207826
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  num_examples: 24783
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- download_size: 2546446
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- dataset_size: 3207826
 
 
 
 
 
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  train-eval-index:
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  - config: default
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  task: text-classification
 
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  dtype: string
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  splits:
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  - name: train
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+ num_bytes: 3207814
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  num_examples: 24783
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+ download_size: 1627672
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+ dataset_size: 3207814
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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  train-eval-index:
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  - config: default
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  task: text-classification
data/train-00000-of-00001.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:dd9fa2324dd645e46615b52cff924058933eb2ceff6699c7b02fcbdd5167a7b3
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+ size 1627672
dataset_infos.json DELETED
@@ -1 +0,0 @@
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- {"default": {"description": "An annotated dataset for hate speech and offensive language detection on tweets.\n", "citation": "@inproceedings{hateoffensive,\ntitle = {Automated Hate Speech Detection and the Problem of Offensive Language},\nauthor = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},\nbooktitle = {Proceedings of the 11th International AAAI Conference on Web and Social Media},\nseries = {ICWSM '17},\nyear = {2017},\nlocation = {Montreal, Canada},\npages = {512-515}\n}\n", "homepage": "https://github.com/t-davidson/hate-speech-and-offensive-language", "license": "MIT", "features": {"count": {"dtype": "int64", "id": null, "_type": "Value"}, "hate_speech_count": {"dtype": "int64", "id": null, "_type": "Value"}, "offensive_language_count": {"dtype": "int64", "id": null, "_type": "Value"}, "neither_count": {"dtype": "int64", "id": null, "_type": "Value"}, "class": {"num_classes": 3, "names": ["hate speech", "offensive language", "neither"], "names_file": null, "id": null, "_type": "ClassLabel"}, "tweet": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "tweet", "output": "class"}, "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": 3207826, "num_examples": 24783, "dataset_name": "hate_speech_offensive"}}, "download_checksums": {"https://raw.githubusercontent.com/t-davidson/hate-speech-and-offensive-language/master/data/labeled_data.csv": {"num_bytes": 2546446, "checksum": "fcb8bc7c68120ae4af04a5b9acd58585513ede11e1548ebf36a5c2040b6f6281"}}, "download_size": 2546446, "post_processing_size": null, "dataset_size": 3207826, "size_in_bytes": 5754272}}
 
 
hate_speech_offensive.py DELETED
@@ -1,105 +0,0 @@
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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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- """An annotated dataset for hate speech and offensive language detection on tweets."""
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-
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-
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- import csv
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-
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- import datasets
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-
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-
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- _CITATION = """\
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- @inproceedings{hateoffensive,
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- title = {Automated Hate Speech Detection and the Problem of Offensive Language},
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- author = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},
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- booktitle = {Proceedings of the 11th International AAAI Conference on Web and Social Media},
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- series = {ICWSM '17},
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- year = {2017},
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- location = {Montreal, Canada},
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- pages = {512-515}
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- }
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- """
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-
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- _DESCRIPTION = """\
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- An annotated dataset for hate speech and offensive language detection on tweets.
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- """
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-
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- _HOMEPAGE = "https://github.com/t-davidson/hate-speech-and-offensive-language"
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-
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- _LICENSE = "MIT"
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-
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- _URL = "https://raw.githubusercontent.com/t-davidson/hate-speech-and-offensive-language/master/data/labeled_data.csv"
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-
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- _CLASS_MAP = {
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- "0": "hate speech",
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- "1": "offensive language",
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- "2": "neither",
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- }
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-
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-
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- class HateSpeechOffensive(datasets.GeneratorBasedBuilder):
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- """An annotated dataset for hate speech and offensive language detection on tweets."""
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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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- "count": datasets.Value("int64"),
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- "hate_speech_count": datasets.Value("int64"),
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- "offensive_language_count": datasets.Value("int64"),
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- "neither_count": datasets.Value("int64"),
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- "class": datasets.ClassLabel(names=["hate speech", "offensive language", "neither"]),
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- "tweet": datasets.Value("string"),
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- }
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- ),
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- supervised_keys=("tweet", "class"),
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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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- "count": row[1],
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- "hate_speech_count": row[2],
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- "offensive_language_count": row[3],
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- "neither_count": row[4],
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- "class": _CLASS_MAP[row[5]],
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- "tweet": row[6],
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- }