adding README file

README.md

@@ -30,4 +30,119 @@ configs:
     path: data/kaa_rus-*
   - split: kaa_uzb
     path: data/kaa_uzb-*
+language:
+- en
+- ru
+- uz
+- kaa
+pretty_name: dilmash
+size_categories:
+- 100K<n<1M
+license: mit
+task_categories:
+- translation
+tags:
+- dilmash
+- karakalpak
 ---
+# Dilmash: Karakalpak Parallel Corpus
+
+This repository contains a parallel corpus for the Karakalpak language, developed as part of the research paper "Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak".
+
+## Dataset Description
+
+The Karakalpak Parallel Corpus is a collection of 300,000 sentence pairs, designed to support machine translation tasks involving the Karakalpak language. It includes:
+
+- Uzbek-Karakalpak (100,000 pairs)
+- Russian-Karakalpak (100,000 pairs)
+- English-Karakalpak (100,000 pairs)
+
+## Usage
+
+This dataset is intended for training and evaluating machine translation models involving the Karakalpak language.
+
+To load and use dataset, run this script:
+
+```python
+from datasets import load_dataset
+
+dilmash_corpus = load_dataset("tahrirchi/dilmash")
+```
+
+## Dataset Structure
+
+### Data Instances
+
+- **Size of downloaded dataset files:** 77.4 MB
+- **Size of the generated dataset:** 46.1 MB
+- **Total amount of disk used:** 123.5 MB
+
+An example of 'kaa_eng' looks as follows.
+```
+{'src_lang': 'kaa_Latn',
+ 'src_sent': 'Pedagogikalıq ideal balaǵa ıktıyatlılıq penen katnasta bolıw principine bárqulla, úlken hám kishi jumıslarda súyeniwdi talan etedi.',
+ 'tgt_lang': 'eng_Latn',
+ 'tgt_sent': 'The ideal of education demands that the principle of treating children with care be observed at all times, in both big and small matters.'
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+- `src_lang`: a `string` feature that contains source language.
+- `src_sent`: a `string` feature that contains sentence in source language.
+- `tgt_lang`: a `string` feature that contains target language.
+- `tgt_sent`: a `string` feature that contains sentence in target language.
+
+### Data Splits
+
+| split_name      |num_examples|
+|-----------------|-----------:|
+| kaa_eng         | 100000     |
+| kaa_rus         | 100000     |
+| kaa_uzb         | 100000     |
+
+## Data Sources
+
+The corpus comprises diverse parallel texts sourced from multiple domains:
+
+- 23% sentences from news sources
+- 34% sentences from books (novels, non-fiction)
+- 24% sentences from bilingual dictionaries
+- 19% sentences from school textbooks
+
+Additionally, 4,000 English-Karakalpak pairs were sourced from the Gatitos Project (Jones et al., 2023)[https://aclanthology.org/2023.emnlp-main.26].
+
+## Data Preparation
+
+The data mining process involved local mining techniques, ensuring that parallel sentences were extracted from translations of the same book, document, or article. Sentence alignment was performed using LaBSE (Language-agnostic BERT Sentence Embedding) embeddings.
+
+## Citation
+
+If you use this dataset in your research, please cite our paper:
+
+```bibtex
+@inproceedings{mamasaidov2024advancing,
+  title={Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak},
+  author={Mamasaidov, Mukhammadsaid and Shopulatov, Abror},
+  booktitle={Proceedings of the OLDI Workshop},
+  year={2024}
+}
+```
+
+## Gratitude
+
+We are thankful to these awesome organizations and people for helping to make it happen:
+
+ - [David Dalé](https://daviddale.ru): for advise throughout the process
+ - Perizad Najimova: for expertise and assistance with the Karakalpak language
+ - [Nurlan Pirjanov](https://www.linkedin.com/in/nurlan-pirjanov/): for expertise and assistance with the Karakalpak language
+ - [Atabek Murtazaev](https://www.linkedin.com/in/atabek/): for advise throughout the process
+ - Ajiniyaz Nurniyazov: for advise throughout the process
+
+## Contacts
+
+We believe that this work will enable and inspire all enthusiasts around the world to open the hidden beauty of low-resource languages, in particular Karakalpak. 
+
+For further development and issues about the dataset, please use m.mamasaidov@tahrirchi.uz or a.shopolatov@tahrirchi.uz to contact.