diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..957b2579c6ef20995a09efd9a17f8fd90606f5ed --- /dev/null +++ b/.gitattributes @@ -0,0 +1,27 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.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..a228c4769b5da38a17353b4ff4090b9d873ea08a --- /dev/null +++ b/README.md @@ -0,0 +1,534 @@ +--- +annotations_creators: +- machine-generated +language_creators: +- crowdsourced +languages: + ace: + - ace + af: + - af + als: + - als + am: + - am + an: + - an + ang: + - ang + ar: + - ar + arc: + - arc + arz: + - arz + as: + - as + ast: + - ast + ay: + - ay + az: + - az + ba: + - ba + bar: + - bar + be: + - be + bg: + - bg + bh: + - bh + bn: + - bn + bo: + - bo + br: + - br + bs: + - bs + ca: + - ca + cdo: + - cdo + ce: + - ce + ceb: + - ceb + ckb: + - ckb + co: + - co + crh: + - crh + cs: + - cs + csb: + - csb + cv: + - cv + cy: + - cy + da: + - da + de: + - de + diq: + - diq + dv: + - dv + el: + - el + en: + - en + eo: + - eo + es: + - es + et: + - et + eu: + - eu + ext: + - ext + fa: + - fa + fi: + - fi + fo: + - fo + fr: + - fr + frr: + - frr + fur: + - fur + fy: + - fy + ga: + - ga + gan: + - gan + gd: + - gd + gl: + - gl + gn: + - gn + gu: + - gu + hak: + - hak + he: + - he + hi: + - hi + hr: + - hr + hsb: + - hsb + hu: + - hu + hy: + - hy + ia: + - ia + id: + - id + ig: + - ig + ilo: + - ilo + io: + - io + is: + - is + it: + - it + ja: + - ja + jbo: + - jbo + jv: + - jv + ka: + - ka + kk: + - kk + km: + - km + kn: + - kn + ko: + - ko + ksh: + - ksh + ku: + - ku + ky: + - ky + la: + - la + lb: + - lb + li: + - li + lij: + - lij + lmo: + - lmo + ln: + - ln + lt: + - lt + lv: + - lv + mg: + - mg + mhr: + - mhr + mi: + - mi + min: + - min + mk: + - mk + ml: + - ml + mn: + - mn + mr: + - mr + ms: + - ms + mt: + - mt + mwl: + - mwl + my: + - my + mzn: + - mzn + nap: + - nap + nds: + - nds + ne: + - ne + nl: + - nl + nn: + - nn + 'no': + - 'no' + nov: + - nov + oc: + - oc + or: + - or + os: + - os + other-bat-smg: + - other-bat-smg + other-be-x-old: + - other-be-x-old + other-cbk-zam: + - other-cbk-zam + other-eml: + - other-eml + other-fiu-vro: + - other-fiu-vro + other-map-bms: + - other-map-bms + other-simple: + - other-simple + other-zh-classical: + - other-zh-classical + other-zh-min-nan: + - other-zh-min-nan + other-zh-yue: + - other-zh-yue + pa: + - pa + pdc: + - pdc + pl: + - pl + pms: + - pms + pnb: + - pnb + ps: + - ps + pt: + - pt + qu: + - qu + rm: + - rm + ro: + - ro + ru: + - ru + rw: + - rw + sa: + - sa + sah: + - sah + scn: + - scn + sco: + - sco + sd: + - sd + sh: + - sh + si: + - si + sk: + - sk + sl: + - sl + so: + - so + sq: + - sq + sr: + - sr + su: + - su + sv: + - sv + sw: + - sw + szl: + - szl + ta: + - ta + te: + - te + tg: + - tg + th: + - th + tk: + - tk + tl: + - tl + tr: + - tr + tt: + - tt + ug: + - ug + uk: + - uk + ur: + - ur + uz: + - uz + vec: + - vec + vep: + - vep + vi: + - vi + vls: + - vls + vo: + - vo + wa: + - wa + war: + - war + wuu: + - wuu + xmf: + - xmf + yi: + - yi + yo: + - yo + zea: + - zea + zh: + - zh +licenses: +- unknown +multilinguality: +- multilingual +size_categories: +- n<1K +source_datasets: +- original +task_categories: +- structure-prediction +task_ids: +- named-entity-recognition +--- + +# Dataset Card for WikiANN + +## Table of Contents +- [Dataset Card for WikiANN](#dataset-card-for-wikiann) + - [Table of Contents](#table-of-contents) + - [Dataset Description](#dataset-description) + - [Dataset Summary](#dataset-summary) + - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) + - [Languages](#languages) + - [Dataset Structure](#dataset-structure) + - [Data Instances](#data-instances) + - [Data Fields](#data-fields) + - [Data Splits](#data-splits) + - [Dataset Creation](#dataset-creation) + - [Curation Rationale](#curation-rationale) + - [Source Data](#source-data) + - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) + - [Who are the source language producers?](#who-are-the-source-language-producers) + - [Annotations](#annotations) + - [Annotation process](#annotation-process) + - [Who are the annotators?](#who-are-the-annotators) + - [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:** [Massively Multilingual Transfer for NER](https://github.com/afshinrahimi/mmner) +- **Repository:** [Massively Multilingual Transfer for NER](https://github.com/afshinrahimi/mmner) +- **Paper:** The original datasets come from the _Cross-lingual name tagging and linking for 282 languages_ [paper](https://www.aclweb.org/anthology/P17-1178/) by Xiaoman Pan et al. (2018). This version corresponds to the balanced train, dev, and test splits of the original data from the _Massively Multilingual Transfer for NER_ [paper](https://arxiv.org/abs/1902.00193) by Afshin Rahimi et al. (2019). +- **Leaderboard:** +- **Point of Contact:** [Afshin Rahimi](mailto:afshinrahimi@gmail.com) or [Lewis Tunstall](mailto:lewis.c.tunstall@gmail.com) + +### Dataset Summary + +WikiANN (sometimes called PAN-X) is a multilingual named entity recognition dataset consisting of Wikipedia articles annotated with LOC (location), PER (person), and ORG (organisation) tags in the IOB2 format. This version corresponds to the balanced train, dev, and test splits of Rahimi et al. (2019), which supports 176 of the 282 languages from the original WikiANN corpus. + +### Supported Tasks and Leaderboards + +- `named-entity-recognition`: The dataset can be used to train a model for named entity recognition in many languages, or evaluate the zero-shot cross-lingual capabilities of multilingual models. + +### Languages + +[More Information Needed] + +## Dataset Structure + +### Data Instances + +[More Information Needed] + +### Data Fields + +[More Information Needed] + +### Data Splits + +[More Information Needed] + +## Dataset Creation + +### Curation Rationale + +[More Information Needed] + +### Source Data + +#### Initial Data Collection and Normalization + +[More Information Needed] + +#### Who are the source language producers? + +[More Information Needed] + +### Annotations + +#### Annotation process + +[More Information Needed] + +#### Who are the annotators? + +[More Information Needed] + +### Personal and Sensitive Information + +[More Information Needed] + +## Considerations for Using the Data + +### Social Impact of Dataset + +[More Information Needed] + +### Discussion of Biases + +[More Information Needed] + +### Other Known Limitations + +[More Information Needed] + +## Additional Information + +### Dataset Curators + +[More Information Needed] + +### Licensing Information + +[More Information Needed] + +### Citation Information + +The original 282 datasets are associated with this article + +``` +@inproceedings{pan-etal-2017-cross, + title = "Cross-lingual Name Tagging and Linking for 282 Languages", + author = "Pan, Xiaoman and + Zhang, Boliang and + May, Jonathan and + Nothman, Joel and + Knight, Kevin and + Ji, Heng", + booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", + month = jul, + year = "2017", + address = "Vancouver, Canada", + publisher = "Association for Computational Linguistics", + url = "https://www.aclweb.org/anthology/P17-1178", + doi = "10.18653/v1/P17-1178", + pages = "1946--1958", + abstract = "The ambitious goal of this work is to develop a cross-lingual name tagging and linking framework for 282 languages that exist in Wikipedia. Given a document in any of these languages, our framework is able to identify name mentions, assign a coarse-grained or fine-grained type to each mention, and link it to an English Knowledge Base (KB) if it is linkable. We achieve this goal by performing a series of new KB mining methods: generating {``}silver-standard{''} annotations by transferring annotations from English to other languages through cross-lingual links and KB properties, refining annotations through self-training and topic selection, deriving language-specific morphology features from anchor links, and mining word translation pairs from cross-lingual links. Both name tagging and linking results for 282 languages are promising on Wikipedia data and on-Wikipedia data.", +} +``` + +while the 176 languages supported in this version are associated with the following article + +``` +@inproceedings{rahimi-etal-2019-massively, + title = "Massively Multilingual Transfer for {NER}", + author = "Rahimi, Afshin and + Li, Yuan and + Cohn, Trevor", + booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics", + month = jul, + year = "2019", + address = "Florence, Italy", + publisher = "Association for Computational Linguistics", + url = "https://www.aclweb.org/anthology/P19-1015", + pages = "151--164", +} +``` + diff --git a/dataset_infos.json b/dataset_infos.json new file mode 100644 index 0000000000000000000000000000000000000000..5089470cc7100487fb8643ce8fde46f117e32a57 --- /dev/null +++ b/dataset_infos.json @@ -0,0 +1 @@ +{"ace": {"description": "WikiANN (sometimes called PAN-X) is a multilingual named entity recognition dataset consisting of Wikipedia articles annotated with LOC (location), PER (person), and ORG (organisation) tags in the IOB2 format. 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0000000000000000000000000000000000000000..5c55968edd996eb6319a2c535025dab3fb1727ca --- /dev/null +++ b/wikiann.py @@ -0,0 +1,316 @@ +# 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. + +"""The WikiANN dataset for multilingual named entity recognition""" + +from __future__ import absolute_import, division, print_function + +import os + +import datasets + + +_CITATION = """@inproceedings{pan-etal-2017-cross, + title = "Cross-lingual Name Tagging and Linking for 282 Languages", + author = "Pan, Xiaoman and + Zhang, Boliang and + May, Jonathan and + Nothman, Joel and + Knight, Kevin and + Ji, Heng", + booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", + month = jul, + year = "2017", + address = "Vancouver, Canada", + publisher = "Association for Computational Linguistics", + url = "https://www.aclweb.org/anthology/P17-1178", + doi = "10.18653/v1/P17-1178", + pages = "1946--1958", + abstract = "The ambitious goal of this work is to develop a cross-lingual name tagging and linking framework for 282 languages that exist in Wikipedia. Given a document in any of these languages, our framework is able to identify name mentions, assign a coarse-grained or fine-grained type to each mention, and link it to an English Knowledge Base (KB) if it is linkable. We achieve this goal by performing a series of new KB mining methods: generating {``}silver-standard{''} annotations by transferring annotations from English to other languages through cross-lingual links and KB properties, refining annotations through self-training and topic selection, deriving language-specific morphology features from anchor links, and mining word translation pairs from cross-lingual links. Both name tagging and linking results for 282 languages are promising on Wikipedia data and on-Wikipedia data.", +}""" + +_DESCRIPTION = """WikiANN (sometimes called PAN-X) is a multilingual named entity recognition dataset consisting of Wikipedia articles annotated with LOC (location), PER (person), and ORG (organisation) tags in the IOB2 format. This version corresponds to the balanced train, dev, and test splits of Rahimi et al. (2019), which supports 176 of the 282 languages from the original WikiANN corpus.""" + +# use ?dl=1 to force browser to download data instead of displaying it +_DATA_URL = "https://www.dropbox.com/s/12h3qqog6q4bjve/panx_dataset.tar?dl=1" +_HOMEPAGE = "https://github.com/afshinrahimi/mmner" +_VERSION = "1.1.0" +_LANGS = [ + "ace", + "af", + "als", + "am", + "an", + "ang", + "ar", + "arc", + "arz", + "as", + "ast", + "ay", + "az", + "ba", + "bar", + "bat-smg", + "be", + "be-x-old", + "bg", + "bh", + "bn", + "bo", + "br", + "bs", + "ca", + "cbk-zam", + "cdo", + "ce", + "ceb", + "ckb", + "co", + "crh", + "cs", + "csb", + "cv", + "cy", + "da", + "de", + "diq", + "dv", + "el", + "eml", + "en", + "eo", + "es", + "et", + "eu", + "ext", + "fa", + "fi", + "fiu-vro", + "fo", + "fr", + "frr", + "fur", + "fy", + "ga", + "gan", + "gd", + "gl", + "gn", + "gu", + "hak", + "he", + "hi", + "hr", + "hsb", + "hu", + "hy", + "ia", + "id", + "ig", + "ilo", + "io", + "is", + "it", + "ja", + "jbo", + "jv", + "ka", + "kk", + "km", + "kn", + "ko", + "ksh", + "ku", + "ky", + "la", + "lb", + "li", + "lij", + "lmo", + "ln", + "lt", + "lv", + "map-bms", + "mg", + "mhr", + "mi", + "min", + "mk", + "ml", + "mn", + "mr", + "ms", + "mt", + "mwl", + "my", + "mzn", + "nap", + "nds", + "ne", + "nl", + "nn", + "no", + "nov", + "oc", + "or", + "os", + "pa", + "pdc", + "pl", + "pms", + "pnb", + "ps", + "pt", + "qu", + "rm", + "ro", + "ru", + "rw", + "sa", + "sah", + "scn", + "sco", + "sd", + "sh", + "si", + "simple", + "sk", + "sl", + "so", + "sq", + "sr", + "su", + "sv", + "sw", + "szl", + "ta", + "te", + "tg", + "th", + "tk", + "tl", + "tr", + "tt", + "ug", + "uk", + "ur", + "uz", + "vec", + "vep", + "vi", + "vls", + "vo", + "wa", + "war", + "wuu", + "xmf", + "yi", + "yo", + "zea", + "zh", + "zh-classical", + "zh-min-nan", + "zh-yue", +] + + +class WikiannConfig(datasets.BuilderConfig): + def __init__(self, **kwargs): + super(WikiannConfig, self).__init__(version=datasets.Version(_VERSION, ""), **kwargs) + + +class Wikiann(datasets.GeneratorBasedBuilder): + """WikiANN is a multilingual named entity recognition dataset consisting of Wikipedia articles annotated with LOC, PER, and ORG tags""" + + VERSION = datasets.Version(_VERSION) + # use two-letter ISO 639-1 language codes as the name for each corpus + BUILDER_CONFIGS = [ + WikiannConfig(name=lang, description=f"WikiANN NER examples in language {lang}") for lang in _LANGS + ] + + def _info(self): + features = datasets.Features( + { + "tokens": datasets.Sequence(datasets.Value("string")), + "ner_tags": datasets.Sequence( + datasets.features.ClassLabel( + names=[ + "O", + "B-PER", + "I-PER", + "B-ORG", + "I-ORG", + "B-LOC", + "I-LOC", + ] + ) + ), + "langs": datasets.Sequence(datasets.Value("string")), + } + ) + return datasets.DatasetInfo( + description=_DESCRIPTION, + features=features, + supervised_keys=None, + homepage=_HOMEPAGE, + citation=_CITATION, + ) + + def _split_generators(self, dl_manager): + wikiann_dl_dir = dl_manager.download_and_extract(_DATA_URL) + lang = self.config.name + lang_folder = dl_manager.extract(os.path.join(wikiann_dl_dir, lang + ".tar.gz")) + + return [ + datasets.SplitGenerator( + name=datasets.Split.VALIDATION, + gen_kwargs={"filepath": os.path.join(lang_folder, "dev")}, + ), + datasets.SplitGenerator( + name=datasets.Split.TEST, + gen_kwargs={"filepath": os.path.join(lang_folder, "test")}, + ), + datasets.SplitGenerator( + name=datasets.Split.TRAIN, + gen_kwargs={"filepath": os.path.join(lang_folder, "train")}, + ), + ] + + def _generate_examples(self, filepath): + guid_index = 1 + with open(filepath, encoding="utf-8") as f: + tokens = [] + ner_tags = [] + langs = [] + for line in f: + if line.startswith("-DOCSTART-") or line == "" or line == "\n": + if tokens: + yield guid_index, {"tokens": tokens, "ner_tags": ner_tags, "langs": langs} + guid_index += 1 + tokens = [] + ner_tags = [] + langs = [] + else: + # wikiann data is tab separated + splits = line.split("\t") + # strip out en: prefix + langs.append(splits[0][:2]) + tokens.append(splits[0][3:]) + if len(splits) > 1: + ner_tags.append(splits[-1].replace("\n", "")) + else: + # examples have no label in test set + ner_tags.append("O")