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+*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..acd38d22a9d28253a0e141d034533247a393f2e3 --- /dev/null +++ b/README.md @@ -0,0 +1,315 @@ +--- +annotations_creators: +- expert-generated +language_creators: +- expert-generated +languages: +- af +- an +- ar +- az +- be +- bg +- bn +- br +- bs +- ca +- cs +- cy +- da +- de +- el +- eo +- es +- et +- eu +- fa +- fi +- fo +- fr +- fy +- ga +- gd +- gl +- gu +- he +- hi +- hr +- ht +- hu +- hy +- ia +- id +- io +- is +- it +- ja +- ka +- km +- kn +- ko +- ku +- ky +- la +- lb +- lt +- lv +- mk +- mr +- ms +- mt +- nl +- nn +- no +- pl +- pt +- rm +- ro +- ru +- sk +- sl +- sq +- sr +- sv +- sw +- ta +- te +- th +- tk +- tl +- tr +- uk +- ur +- uz +- vi +- vo +- wa +- yi +- zh +- zhw +licenses: +- gpl-3-0 +multilinguality: +- multilingual +size_categories: +- n<1K +source_datasets: +- original +task_categories: +- text-classification +task_ids: +- sentiment-classification +--- + +# Dataset Card for SentiWS + +## Table of Contents +- [Dataset Description](#dataset-description) + - [Dataset Summary](#dataset-summary) + - [Supported Tasks](#supported-tasks-and-leaderboards) + - [Languages](#languages) +- [Dataset Structure](#dataset-structure) + - [Data Instances](#data-instances) + - [Data Fields](#data-instances) + - [Data Splits](#data-instances) +- [Dataset Creation](#dataset-creation) + - [Curation Rationale](#curation-rationale) + - [Source Data](#source-data) + - [Annotations](#annotations) + - [Personal and Sensitive Information](#personal-and-sensitive-information) +- [Considerations for Using the Data](#considerations-for-using-the-data) + - [Social Impact of Dataset](#social-impact-of-dataset) + - [Discussion of Biases](#discussion-of-biases) + - [Other Known Limitations](#other-known-limitations) +- [Additional Information](#additional-information) + - [Dataset Curators](#dataset-curators) + - [Licensing Information](#licensing-information) + - [Citation Information](#citation-information) + +## Dataset Description + +- **Homepage:** https://sites.google.com/site/datascienceslab/projects/multilingualsentiment +- **Repository:** https://www.kaggle.com/rtatman/sentiment-lexicons-for-81-languages +- **Paper:** [Needs More Information] +- **Leaderboard:** [Needs More Information] +- **Point of Contact:** [Needs More Information] + +### Dataset Summary + +This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them + +### Supported Tasks and Leaderboards + +Sentiment-Classification + +### Languages + +Afrikaans +Aragonese +Arabic +Azerbaijani +Belarusian +Bulgarian +Bengali +Breton +Bosnian +Catalan; Valencian +Czech +Welsh +Danish +German +Greek, Modern +Esperanto +Spanish; Castilian +Estonian +Basque +Persian +Finnish +Faroese +French +Western Frisian +Irish +Scottish Gaelic; Gaelic +Galician +Gujarati +Hebrew (modern) +Hindi +Croatian +Haitian; Haitian Creole +Hungarian +Armenian +Interlingua +Indonesian +Ido +Icelandic +Italian +Japanese +Georgian +Khmer +Kannada +Korean +Kurdish +Kirghiz, Kyrgyz +Latin +Luxembourgish, Letzeburgesch +Lithuanian +Latvian +Macedonian +Marathi (Marāṭhī) +Malay +Maltese +Dutch +Norwegian Nynorsk +Norwegian +Polish +Portuguese +Romansh +Romanian, Moldavian, Moldovan +Russian +Slovak +Slovene +Albanian +Serbian +Swedish +Swahili +Tamil +Telugu +Thai +Turkmen +Tagalog +Turkish +Ukrainian +Urdu +Uzbek +Vietnamese +Volapük +Walloon +Yiddish +Chinese +Zhoa + +## Dataset Structure + +### Data Instances + +``` +{ +"word":"die", +"sentiment": 0, #"negative" +} +``` + +### Data Fields + +- word: one word as a string, +- sentiment-score: the sentiment classification of the word as a string either negative (0) or positive (1) + +### Data Splits + +[Needs More Information] + +## Dataset Creation + +### Curation Rationale + +[Needs More Information] + +### Source Data + +#### Initial Data Collection and Normalization + +[Needs More Information] + +#### Who are the source language producers? + +[Needs More Information] + +### Annotations + +#### Annotation process + +[Needs More Information] + +#### Who are the annotators? + +[Needs More Information] + +### Personal and Sensitive Information + +[Needs More Information] + +## Considerations for Using the Data + +### Social Impact of Dataset + +[Needs More Information] + +### Discussion of Biases + +[Needs More Information] + +### Other Known Limitations + +[Needs More Information] + +## Additional Information + +### Dataset Curators + +[Needs More Information] + +### Licensing Information + +GNU General Public License v3 + +### Citation Information +@inproceedings{inproceedings, +author = {Chen, Yanqing and Skiena, Steven}, +year = {2014}, +month = {06}, +pages = {383-389}, +title = {Building Sentiment Lexicons for All Major Languages}, +volume = {2}, +journal = {52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference}, +doi = {10.3115/v1/P14-2063} +} \ No newline at end of file diff --git a/dataset_infos.json b/dataset_infos.json new file mode 100644 index 0000000000000000000000000000000000000000..f954e5a4f505cd743c5a08ec76fed9f528cf6f2d --- /dev/null +++ b/dataset_infos.json @@ -0,0 +1 @@ +{"af": {"description": "This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the 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0000000000000000000000000000000000000000..cdaa8a9c061fbc9aed01dcddd39ae109b815b6ca --- /dev/null +++ b/dummy/zhw/1.1.0/dummy_data.zip @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f2ab206ebbcfdb7f1f2b85c71e882255bdd496882a04ccee67714c41a0fa96c +size 20066 diff --git a/senti_lex.py b/senti_lex.py new file mode 100644 index 0000000000000000000000000000000000000000..b5a9035d0c1dd4767e8bdf8febd9c0b27c15d65d --- /dev/null +++ b/senti_lex.py @@ -0,0 +1,223 @@ +# coding=utf-8 +# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them""" + +from __future__ import absolute_import, division, print_function + +import os + +import datasets + + +_CITATION = """\ +@inproceedings{inproceedings, +author = {Chen, Yanqing and Skiena, Steven}, +year = {2014}, +month = {06}, +pages = {383-389}, +title = {Building Sentiment Lexicons for All Major Languages}, +volume = {2}, +journal = {52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference}, +doi = {10.3115/v1/P14-2063} +} +""" + +_DESCRIPTION = """\ +This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them. +""" + +_HOMEPAGE = "https://sites.google.com/site/datascienceslab/projects/multilingualsentiment" + +_LICENSE = "GNU General Public License v3" + +_URLs = "https://www.kaggle.com/rtatman/sentiment-lexicons-for-81-languages" + +LANGS = [ + "af", + "an", + "ar", + "az", + "be", + "bg", + "bn", + "br", + "bs", + "ca", + "cs", + "cy", + "da", + "de", + "el", + "eo", + "es", + "et", + "eu", + "fa", + "fi", + "fo", + "fr", + "fy", + "ga", + "gd", + "gl", + "gu", + "he", + "hi", + "hr", + "ht", + "hu", + "hy", + "ia", + "id", + "io", + "is", + "it", + "ja", + "ka", + "km", + "kn", + "ko", + "ku", + "ky", + "la", + "lb", + "lt", + "lv", + "mk", + "mr", + "ms", + "mt", + "nl", + "nn", + "no", + "pl", + "pt", + "rm", + "ro", + "ru", + "sk", + "sl", + "sq", + "sr", + "sv", + "sw", + "ta", + "te", + "th", + "tk", + "tl", + "tr", + "uk", + "ur", + "uz", + "vi", + "vo", + "wa", + "yi", + "zh", + "zhw", +] + + +class SentiLex(datasets.GeneratorBasedBuilder): + """Sentiment lexicons for 81 different languages""" + + VERSION = datasets.Version("1.1.0") + + @property + def manual_download_instructions(self): + return """\ + You should download the dataset from https://www.kaggle.com/rtatman/sentiment-lexicons-for-81-languages + The webpage requires registration. + After downloading, please put the files in a dir of your choice, + which will be used as a manual_dir, e.g. `~/.manual_dirs/senti_lex` + SentiLex can then be loaded via: + `datasets.load_dataset("newsroom", data_dir="~/.manual_dirs/senti_lex")`. + """ + + BUILDER_CONFIGS = [ + datasets.BuilderConfig( + name=i, + version=datasets.Version("1.1.0"), + description=("Lexicon of positive and negative words for the " + i + " language"), + ) + for i in LANGS + ] + + def _info(self): + + features = datasets.Features( + { + "word": datasets.Value("string"), + "sentiment": datasets.ClassLabel( + names=[ + "negative", + "positive", + ] + ), + } + ) + + return datasets.DatasetInfo( + description=_DESCRIPTION, + features=features, + supervised_keys=None, + homepage=_HOMEPAGE, + license=_LICENSE, + citation=_CITATION, + ) + + def _split_generators(self, dl_manager): + """Returns SplitGenerators.""" + data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir)) + if not os.path.exists(data_dir): + raise FileNotFoundError( + "{} does not exist. Make sure you insert a manual dir via `datasets.load_dataset('newsroom', data_dir=...)` that includes files unzipped from the reclor zip. Manual download instructions: {}".format( + data_dir, self.manual_download_instructions + ) + ) + return [ + datasets.SplitGenerator( + name=datasets.Split.TRAIN, + gen_kwargs={ + "data_dir": data_dir, + }, + ), + ] + + def _generate_examples(self, data_dir): + """ Yields examples. """ + + filepaths = [ + os.path.join(data_dir, "sentiment-lexicons", "negative_words_" + self.config.name + ".txt"), + os.path.join(data_dir, "sentiment-lexicons", "positive_words_" + self.config.name + ".txt"), + ] + + for filepath in filepaths: + + with open(filepath, encoding="utf-8") as f: + + for id_, line in enumerate(f): + + if "negative" in filepath: + yield id_, { + "word": line.strip(" \n"), + "sentiment": "negative", + } + elif "positive" in filepath: + yield id_, { + "word": line.strip(" \n"), + "sentiment": "positive", + }