Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Thai
Size:
100K - 1M
Tags:
word-tokenization
License:
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - found | |
| languages: | |
| - th | |
| licenses: | |
| - cc-by-nc-sa-3-0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 100k<n<1M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - structure-prediction | |
| task_ids: | |
| - structure-prediction-other-word-tokenization | |
| # Dataset Card for `best2009` | |
| ## 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-fields) | |
| - [Data Splits](#data-splits) | |
| - [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) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** https://aiforthai.in.th/ | |
| - **Repository:** https://aiforthai.in.th/corpus.php | |
| - **Paper:** | |
| - **Leaderboard:** | |
| - **Point of Contact:** https://aiforthai.in.th/ | |
| ### Dataset Summary | |
| `best2009` is a Thai word-tokenization dataset from encyclopedia, novels, news and articles by [NECTEC](https://www.nectec.or.th/) (148,995/2,252 lines of train/test). It was created for [BEST 2010: Word Tokenization Competition](https://thailang.nectec.or.th/archive/indexa290.html?q=node/10). The test set answers are not provided publicly. | |
| ### Supported Tasks and Leaderboards | |
| word tokenization | |
| ### Languages | |
| Thai | |
| ## Dataset Structure | |
| ### Data Instances | |
| ``` | |
| {'char': ['?', 'ภ', 'ู', 'ม', 'ิ', 'ป', 'ั', 'ญ', 'ญ', 'า', 'ช', 'า', 'ว', 'บ', '้', 'า', 'น', '\n'], 'char_type': [4, 1, 10, 1, 10, 1, 4, 1, 1, 10, 1, 10, 1, 1, 9, 10, 1, 4], 'fname': 'encyclopedia_00031.txt', 'is_beginning': [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1]} | |
| {'char': ['ภ', 'ู', 'ม', 'ิ', 'ป', 'ั', 'ญ', 'ญ', 'า', 'ช', 'า', 'ว', 'บ', '้', 'า', 'น', ' ', 'ห', 'ม', 'า', 'ย', 'ถ', 'ึ', 'ง', ' ', 'ค', 'ว', 'า', 'ม', 'ร', 'ู', '้', 'ข', 'อ', 'ง', 'ช', 'า', 'ว', 'บ', '้', 'า', 'น', ' ', 'ซ', 'ึ', '่', 'ง', 'เ', 'ร', 'ี', 'ย', 'น', 'ร', 'ู', '้', 'ม', 'า', 'จ', 'า', 'ก', 'พ', '่', 'อ', 'แ', 'ม', '่', ' ', 'ป', 'ู', '่', 'ย', '่', 'า', 'ต', 'า', 'ย', 'า', 'ย', ' ', 'ญ', 'า', 'ต', 'ิ', 'พ', 'ี', '่', 'น', '้', 'อ', 'ง', ' ', 'ห', 'ร', 'ื', 'อ', 'ผ', 'ู', '้', 'ม', 'ี', 'ค', 'ว', 'า', 'ม', 'ร', 'ู', '้', 'ใ', 'น', 'ห', 'ม', 'ู', '่', 'บ', '้', 'า', 'น', 'ใ', 'น', 'ท', '้', 'อ', 'ง', 'ถ', 'ิ', '่', 'น', 'ต', '่', 'า', 'ง', 'ๆ', '\n'], 'char_type': [1, 10, 1, 10, 1, 4, 1, 1, 10, 1, 10, 1, 1, 9, 10, 1, 5, 3, 1, 10, 1, 1, 10, 1, 5, 1, 1, 10, 1, 1, 10, 9, 1, 1, 1, 1, 10, 1, 1, 9, 10, 1, 5, 1, 10, 9, 1, 11, 1, 10, 1, 1, 1, 10, 9, 1, 10, 1, 10, 1, 1, 9, 1, 11, 1, 9, 5, 1, 10, 9, 1, 9, 10, 1, 10, 1, 10, 1, 5, 1, 10, 1, 10, 1, 10, 9, 1, 9, 1, 1, 5, 3, 1, 10, 1, 3, 10, 9, 1, 10, 1, 1, 10, 1, 1, 10, 9, 11, 1, 3, 1, 10, 9, 1, 9, 10, 1, 11, 1, 1, 9, 1, 1, 1, 10, 9, 1, 1, 9, 10, 1, 7, 4], 'fname': 'encyclopedia_00031.txt', 'is_beginning': [1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1]} | |
| ``` | |
| ### Data Fields | |
| - `fname`: file name; also marks if article is articles, news, encyclopedia or novels | |
| - `char`: characters | |
| - `char_type`: character types as adopted from []() by [deepcut](https://github.com/rkcosmos/deepcut) | |
| - `is_beginning`: is beginning of word | |
| ### Data Splits | |
| | | train | test | | |
| |-------------------------|------------|---------| | |
| | # lines | 148,995 | 2,252 | | |
| | avg words per line | 39.05 | NA | | |
| | total words | 5,818,521 | NA | | |
| | avg characters per line | 140.39 | 202.79 | | |
| | total characters | 20,918,132 | 456,684 | | |
| | # lines articles | 16,990 | NA | | |
| | # lines encyclopedia | 50,631 | NA | | |
| | # lines novels | 50,140 | NA | | |
| | # lines news | 31,234 | NA | | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| The dataset was created for [BEST 2010: Word Tokenization Competition](https://thailang.nectec.or.th/archive/indexa290.html?q=node/10) by [NECTEC](https://www.nectec.or.th/). | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| Respective authors of the articles, news, encyclopedia and novels | |
| ### Annotations | |
| #### Annotation process | |
| Detailed annotation guidelines can be found in `BEST_Guideline_Release1.pdf` as part of the uncompressed files. Word tokenization standard used was [InterBEST2009](http://hltshare.fbk.eu/IWSLT2015/InterBEST2009Guidelines-2.pdf) | |
| #### Who are the annotators? | |
| [More Information Needed] | |
| ### Personal and Sensitive Information | |
| All data are curated from public sources. No personal and sensitive information is expected to be included. | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| - word tokenization dataset from articles, news, encyclopedia and novels | |
| ### Discussion of Biases | |
| - texts are relatively formal ones from articles, news, encyclopedia and novels. | |
| - word tokenization standard used was [InterBEST2009](http://hltshare.fbk.eu/IWSLT2015/InterBEST2009Guidelines-2.pdf). | |
| ### Other Known Limitations | |
| - some tags unrelated to word tokenization (`<NE>` and `<AB>`) are cleaned out. | |
| - no word boundary provdied for the test set | |
| ## Additional Information | |
| ### Dataset Curators | |
| [NECTEC](https://www.nectec.or.th/) | |
| ### Licensing Information | |
| CC-BY-NC-SA 3.0 | |
| ### Citation Information | |
| Dataset: | |
| ``` | |
| @inproceedings{kosawat2009best, | |
| title={BEST 2009: Thai word segmentation software contest}, | |
| author={Kosawat, Krit and Boriboon, Monthika and Chootrakool, Patcharika and Chotimongkol, Ananlada and Klaithin, Supon and Kongyoung, Sarawoot and Kriengket, Kanyanut and Phaholphinyo, Sitthaa and Purodakananda, Sumonmas and Thanakulwarapas, Tipraporn and others}, | |
| booktitle={2009 Eighth International Symposium on Natural Language Processing}, | |
| pages={83--88}, | |
| year={2009}, | |
| organization={IEEE} | |
| } | |
| @inproceedings{boriboon2009best, | |
| title={Best corpus development and analysis}, | |
| author={Boriboon, Monthika and Kriengket, Kanyanut and Chootrakool, Patcharika and Phaholphinyo, Sitthaa and Purodakananda, Sumonmas and Thanakulwarapas, Tipraporn and Kosawat, Krit}, | |
| booktitle={2009 International Conference on Asian Language Processing}, | |
| pages={322--327}, | |
| year={2009}, | |
| organization={IEEE} | |
| } | |
| ``` | |
| Character type features: | |
| ``` | |
| @inproceedings{haruechaiyasak2009tlex, | |
| title={TLex: Thai lexeme analyser based on the conditional random fields}, | |
| author={Haruechaiyasak, Choochart and Kongyoung, Sarawoot}, | |
| booktitle={Proceedings of 8th International Symposium on Natural Language Processing}, | |
| year={2009} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@cstorm125](https://github.com/cstorm125) for adding this dataset. |