Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Size:
10K - 100K
Tags:
language-identification
License:
| annotations_creators: | |
| - no-annotation | |
| language_creators: | |
| - found | |
| language: | |
| - awa | |
| - bho | |
| - bra | |
| - hi | |
| - mag | |
| license: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - multilingual | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - text-classification | |
| task_ids: [] | |
| pretty_name: ilist | |
| tags: | |
| - language-identification | |
| dataset_info: | |
| features: | |
| - name: language_id | |
| dtype: | |
| class_label: | |
| names: | |
| '0': AWA | |
| '1': BRA | |
| '2': MAG | |
| '3': BHO | |
| '4': HIN | |
| - name: text | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 14362998 | |
| num_examples: 70351 | |
| - name: test | |
| num_bytes: 2146857 | |
| num_examples: 9692 | |
| - name: validation | |
| num_bytes: 2407643 | |
| num_examples: 10329 | |
| download_size: 18284850 | |
| dataset_size: 18917498 | |
| # Dataset Card for ilist | |
| ## 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) | |
| - [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:** | |
| - **Repository:** https://github.com/kmi-linguistics/vardial2018 | |
| - **Paper:** [Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign](https://aclanthology.org/W18-3901/) | |
| - **Leaderboard:** | |
| - **Point of Contact:** linguistics.kmi@gmail.com | |
| ### Dataset Summary | |
| This dataset is introduced in a task which aimed at identifying 5 closely-related languages of Indo-Aryan language family: Hindi (also known as Khari Boli), Braj Bhasha, Awadhi, Bhojpuri and Magahi. These languages form part of a continuum starting from Western Uttar Pradesh (Hindi and Braj Bhasha) to Eastern Uttar Pradesh (Awadhi and Bhojpuri) and the neighbouring Eastern state of Bihar (Bhojpuri and Magahi). | |
| For this task, participants were provided with a dataset of approximately 15,000 sentences in each language, mainly from the domain of literature, published over the web as well as in print. | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed] | |
| ### Languages | |
| Hindi, Braj Bhasha, Awadhi, Bhojpuri and Magahi | |
| ## Dataset Structure | |
| ### Data Instances | |
| ``` | |
| { | |
| "language_id": 4, | |
| "text": 'तभी बारिश हुई थी जिसका गीलापन इन मूर्तियों को इन तस्वीरों में एक अलग रूप देता है .' | |
| } | |
| ``` | |
| ### Data Fields | |
| - `text`: text which you want to classify | |
| - `language_id`: label for the text as an integer from 0 to 4 | |
| The language ids correspond to the following languages: "AWA", "BRA", "MAG", "BHO", "HIN". | |
| ### Data Splits | |
| | | train | valid | test | | |
| |----------------------|-------|-------|-------| | |
| | # of input sentences | 70351 | 9692 | 10329 | | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| The data for this task was collected from both hard printed and digital sources. Printed materials were | |
| obtained from different institutions that promote these languages. We also gathered data from libraries, | |
| as well as from local literary and cultural groups. We collected printed stories, novels and essays in | |
| books, magazines, and newspapers. | |
| #### Initial Data Collection and Normalization | |
| We scanned the printed materials, then we performed OCR, and | |
| finally we asked native speakers of the respective languages to correct the OCR output. Since there are | |
| no specific OCR models available for these languages, we used the Google OCR for Hindi, part of the | |
| Drive API. Since all the languages used the Devanagari script, we expected the OCR to work reasonably | |
| well, and overall it did. We further managed to get some blogs in Magahi and Bhojpuri. | |
| #### 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 | |
| This work is licensed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0/ | |
| ### Citation Information | |
| ``` | |
| @inproceedings{zampieri-etal-2018-language, | |
| title = "Language Identification and Morphosyntactic Tagging: The Second {V}ar{D}ial Evaluation Campaign", | |
| author = {Zampieri, Marcos and | |
| Malmasi, Shervin and | |
| Nakov, Preslav and | |
| Ali, Ahmed and | |
| Shon, Suwon and | |
| Glass, James and | |
| Scherrer, Yves and | |
| Samard{\v{z}}i{\'c}, Tanja and | |
| Ljube{\v{s}}i{\'c}, Nikola and | |
| Tiedemann, J{\"o}rg and | |
| van der Lee, Chris and | |
| Grondelaers, Stefan and | |
| Oostdijk, Nelleke and | |
| Speelman, Dirk and | |
| van den Bosch, Antal and | |
| Kumar, Ritesh and | |
| Lahiri, Bornini and | |
| Jain, Mayank}, | |
| booktitle = "Proceedings of the Fifth Workshop on {NLP} for Similar Languages, Varieties and Dialects ({V}ar{D}ial 2018)", | |
| month = aug, | |
| year = "2018", | |
| address = "Santa Fe, New Mexico, USA", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/W18-3901", | |
| pages = "1--17", | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@vasudevgupta7](https://github.com/vasudevgupta7) for adding this dataset. |