Update dataset card

README.md

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+---
+pretty_name: polyglot3 models
+license: other
+license_name: polyglot-models
+license_link: https://github.com/aboSamoor/polyglot
+language:
+- ar
+- bg
+- cs
+- et
+- fa
+- fi
+- he
+- hi
+- hr
+- hu
+- id
+- ko
+- lv
+- ms
+- no
+- pt
+- ru
+- sk
+- sl
+- sr
+- sv
+- th
+- tr
+- uk
+- vi
+- multilingual
+task_categories:
+- token-classification
+- text-classification
+tags:
+- named-entity-recognition
+- part-of-speech
+- sentiment
+- word-embeddings
+- polyglot
+---
+
+# polyglot3 models
+
+Pre-trained models for [polyglot3](https://github.com/dcipheranalytics/polyglot3),
+the maintained Python 3 continuation of
+[polyglot](https://github.com/aboSamoor/polyglot): word embeddings, named
+entity recognition, part of speech tagging and sentiment lexicons.
+
+These are the models originally published by the polyglot project at Stony
+Brook University, whose download server is no longer online. This dataset
+mirrors them, unchanged, so that polyglot3 can download them. It is maintained
+by Dcipher Analytics AB (<info@dcipheranalytics.com>).
+
+## Usage
+
+The files are meant to be downloaded by polyglot3, which verifies each one
+against the checksums in `index.json`:
+
+```bash
+pip install polyglot3
+polyglot3 download LANG:tr        # every model for Turkish
+```
+
+```python
+from polyglot3.text import Text
+
+Text("Mustafa Kemal Atatürk Ankara'da yaşadı.").entities
+# [I-PER(['Mustafa', 'Kemal', 'Atatürk'])]
+```
+
+See the [polyglot3 documentation](https://github.com/dcipheranalytics/polyglot3)
+for details.
+
+## Contents
+
+| Package       | Contents                                                   | Languages | Size   |
+|---------------|------------------------------------------------------------|-----------|--------|
+| `embeddings2` | 64-dimensional word embeddings (100,000 words), NER/POS input | 25     | 635 MB |
+| `ner2`        | named entity recognition (person, location, organization)  | 25        | 7 MB   |
+| `pos2`        | part of speech tagging (universal POS tags)                | 7         | 1.5 MB |
+| `sentiment2`  | word polarity lexicons (positive, neutral, negative)       | 136       | 1.4 MB |
+
+Each package is a single file at `<task>/<language>/<file>`, e.g.
+`ner2/tr/tr_ner.pkl.tar.bz2`. `index.json` lists every file with its size and
+MD5.
+
+Languages (ISO 639 codes):
+
+- **Embeddings and NER:** ar bg cs et fa fi he hi hr hu id ko lv ms no pt ru sk
+  sl sr sv th tr uk vi
+- **POS:** bg cs fi hu id sl sv
+- **Sentiment:** af als am an ar arz as ast az ba bar be bg bn bo bpy br bs ca
+  ce ceb cs cv cy da de diq dv el en eo es et eu fa fi fo fr fy ga gan gd gl gu
+  gv he hi hif hr hsb ht hu hy ia id ilo io is it ja jv ka kk km kn ko ku ky la
+  lb li lmo lt lv mg mk ml mn mr ms mt my ne nl nn no oc or os pa pam pl pms ps
+  pt qu rm ro ru sa sah scn sco se sh si sk sl sq sr su sv sw szl ta te tg th
+  tk tl tr tt ug uk ur uz vec vi vls vo wa war yi yo zh zhw
+
+The original polyglot project published models for more languages. This
+mirror only contains the ones above.
+
+## Source and license
+
+The models were created by Rami Al-Rfou, Bryan Perozzi, Vivek Kulkarni,
+Yanqing Chen, Steven Skiena and colleagues at the Data Science Lab, Stony
+Brook University, and released with
+[polyglot](https://github.com/aboSamoor/polyglot). They were trained on
+Wikipedia (embeddings, NER, POS) and derived from it and other resources
+(sentiment); see the papers below.
+
+The polyglot code is licensed under GPLv3. The models are redistributed here
+under the terms of their original release; refer to the
+[polyglot project](https://github.com/aboSamoor/polyglot) for those terms. If
+you are an author of these models and have questions about this mirror,
+contact <info@dcipheranalytics.com>.
+
+## Citation
+
+If you use these models, please cite the original papers:
+
+```bibtex
+@InProceedings{polyglot:2013:ACL-CoNLL,
+  author    = {Al-Rfou, Rami and Perozzi, Bryan and Skiena, Steven},
+  title     = {Polyglot: Distributed Word Representations for Multilingual NLP},
+  booktitle = {Proceedings of the Seventeenth Conference on Computational Natural Language Learning},
+  month     = {August},
+  year      = {2013},
+  address   = {Sofia, Bulgaria},
+  publisher = {Association for Computational Linguistics},
+  pages     = {183--192},
+  url       = {https://aclanthology.org/W13-3520}
+}
+
+@inproceedings{polyglotner,
+  author    = {Al-Rfou, Rami and Kulkarni, Vivek and Perozzi, Bryan and Skiena, Steven},
+  title     = {{Polyglot-NER}: Massive Multilingual Named Entity Recognition},
+  booktitle = {Proceedings of the 2015 {SIAM} International Conference on Data Mining},
+  month     = {April},
+  year      = {2015},
+  publisher = {SIAM}
+}
+
+@inproceedings{chen2014building,
+  title     = {Building sentiment lexicons for all major languages},
+  author    = {Chen, Yanqing and Skiena, Steven},
+  booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Short Papers)},
+  pages     = {383--389},
+  year      = {2014}
+}
+```