|
--- |
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annotations_creators: |
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- crowdsourced |
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language_creators: |
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- crowdsourced |
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- found |
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- machine-generated |
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language: |
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- as |
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- bn |
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- en |
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- gu |
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- hi |
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- kn |
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- ml |
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- mr |
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- or |
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- pa |
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- ta |
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- te |
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- ur |
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license: |
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- cc0-1.0 |
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multilinguality: |
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- multilingual |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- text-classification |
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task_ids: |
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- text-scoring |
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- semantic-similarity-scoring |
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pretty_name: Indic STS |
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dataset_info: |
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- config_name: en-as |
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features: |
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- name: lang_code |
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dtype: string |
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- name: source |
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dtype: string |
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- name: english_sentence |
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dtype: string |
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- name: indic_sentence |
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dtype: string |
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- name: score |
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dtype: float64 |
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splits: |
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- name: test |
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num_bytes: 167751 |
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num_examples: 656 |
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download_size: 83024 |
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dataset_size: 167751 |
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- config_name: en-bn |
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features: |
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- name: lang_code |
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dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
|
- name: test |
|
num_bytes: 280422 |
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num_examples: 957 |
|
download_size: 133859 |
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dataset_size: 280422 |
|
- config_name: en-gu |
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features: |
|
- name: lang_code |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
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- name: test |
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num_bytes: 217276 |
|
num_examples: 780 |
|
download_size: 105617 |
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dataset_size: 217276 |
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- config_name: en-hi |
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features: |
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- name: lang_code |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
|
- name: test |
|
num_bytes: 458019 |
|
num_examples: 1268 |
|
download_size: 224825 |
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dataset_size: 458019 |
|
- config_name: en-kn |
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features: |
|
- name: lang_code |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
|
- name: test |
|
num_bytes: 291586 |
|
num_examples: 953 |
|
download_size: 140273 |
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dataset_size: 291586 |
|
- config_name: en-ml |
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features: |
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- name: lang_code |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
|
- name: test |
|
num_bytes: 302856 |
|
num_examples: 947 |
|
download_size: 139777 |
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dataset_size: 302856 |
|
- config_name: en-mr |
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features: |
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- name: lang_code |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
|
- name: test |
|
num_bytes: 253059 |
|
num_examples: 779 |
|
download_size: 124599 |
|
dataset_size: 253059 |
|
- config_name: en-or |
|
features: |
|
- name: lang_code |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
|
- name: test |
|
num_bytes: 121019 |
|
num_examples: 500 |
|
download_size: 57149 |
|
dataset_size: 121019 |
|
- config_name: en-pa |
|
features: |
|
- name: lang_code |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
|
- name: test |
|
num_bytes: 204730 |
|
num_examples: 688 |
|
download_size: 102251 |
|
dataset_size: 204730 |
|
- config_name: en-ta |
|
features: |
|
- name: lang_code |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
|
- name: test |
|
num_bytes: 368438 |
|
num_examples: 1044 |
|
download_size: 162846 |
|
dataset_size: 368438 |
|
- config_name: en-te |
|
features: |
|
- name: lang_code |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
|
- name: test |
|
num_bytes: 291129 |
|
num_examples: 948 |
|
download_size: 138528 |
|
dataset_size: 291129 |
|
- config_name: en-ur |
|
features: |
|
- name: lang_code |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: english_sentence |
|
dtype: string |
|
- name: indic_sentence |
|
dtype: string |
|
- name: score |
|
dtype: float64 |
|
splits: |
|
- name: test |
|
num_bytes: 150870 |
|
num_examples: 500 |
|
download_size: 85405 |
|
dataset_size: 150870 |
|
configs: |
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- config_name: en-as |
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data_files: |
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- split: test |
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path: en-as/test-* |
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- config_name: en-bn |
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data_files: |
|
- split: test |
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path: en-bn/test-* |
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- config_name: en-gu |
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data_files: |
|
- split: test |
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path: en-gu/test-* |
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- config_name: en-hi |
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data_files: |
|
- split: test |
|
path: en-hi/test-* |
|
- config_name: en-kn |
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data_files: |
|
- split: test |
|
path: en-kn/test-* |
|
- config_name: en-ml |
|
data_files: |
|
- split: test |
|
path: en-ml/test-* |
|
- config_name: en-mr |
|
data_files: |
|
- split: test |
|
path: en-mr/test-* |
|
- config_name: en-or |
|
data_files: |
|
- split: test |
|
path: en-or/test-* |
|
- config_name: en-pa |
|
data_files: |
|
- split: test |
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path: en-pa/test-* |
|
- config_name: en-ta |
|
data_files: |
|
- split: test |
|
path: en-ta/test-* |
|
- config_name: en-te |
|
data_files: |
|
- split: test |
|
path: en-te/test-* |
|
- config_name: en-ur |
|
data_files: |
|
- split: test |
|
path: en-ur/test-* |
|
tags: |
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- multilingual |
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- semantic-textual-similarity |
|
--- |
|
|
|
# Dataset Card for Indic STS |
|
|
|
This dataset is STS benchmark between English and 12 high-resource Indic languages. This was released as a part of [Samanantar](https://arxiv.org/abs/2104.05596) paper. Please refer to the paper for more details. |
|
|
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### Languages |
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Available languages are: en-as, en-bn, en-gu, en-hi, en-kn, en-ml, en-mr, en-or, en-pa, en-ta, en-te, en-ur |
|
|
|
### Dataset Structure |
|
|
|
#### Dataset Fields |
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|
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- lang_code: 2-digit ISO language code |
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- source: The source from which the candidate sentence is considered. |
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- english_sentence: The full sentence in the English language. |
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- indic_sentence: The full sentence in the corresponding Indic language. |
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- score: The similarity score as a float which is <= 5.0 and >= 0.0. |
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|
|
#### Data Instances |
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|
|
```json |
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{ |
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"lang_code":"hi", |
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"source":"CatchNews", |
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"english_sentence":"\"...this is only an interim measure and as long as we have hopefully control over COVID in a few months or a year\\'s time then I think things will go back to as normal as it can be,\" Kumble said\n", |
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"indic_sentence":"उन्होंने कहा,\"यह केवल एक अंतरिम उपाय है और जब तक हम कुछ महीनों या एक साल के समय में COVID-19 पर नियंत्रण करते हैं, तब तक मुझे लगता है कि चीजें फिर से सामान्य हो जाएंगी\n", |
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"score":4.0 |
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} |
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``` |
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|
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#### Splits |
|
|
|
| | en-as | en-bn | en-gu | en-hi | en-kn | en-ml | en-mr | en-or | en-pa | en-ta | en-te | en-ur | |
|
|------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------| |
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| test | 656 | 957 | 780 | 1268 | 953 | 947 | 779 | 500 | 688 | 1044 | 948 | 500 | |
|
|
|
### Examples of Use |
|
|
|
```python3 |
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from datasets import load_dataset |
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dataset = load_dataset("jaygala24/indic_sts", name="en-hi", split="test") |
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``` |
|
|
|
|
|
### Citation |
|
|
|
```bibtex |
|
@article{DBLP:journals/tacl/RameshDBJASSDJK22, |
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author = {Gowtham Ramesh and Sumanth Doddapaneni and Aravinth Bheemaraj and Mayank Jobanputra and Raghavan AK and Ajitesh Sharma and Sujit Sahoo and Harshita Diddee and Mahalakshmi J and Divyanshu Kakwani and Navneet Kumar and Aswin Pradeep and Srihari Nagaraj and Deepak Kumar and Vivek Raghavan and Anoop Kunchukuttan and Pratyush Kumar and Mitesh Shantadevi Khapra}, |
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title = {Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages}, |
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journal = {Trans. Assoc. Comput. Linguistics}, |
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volume = {10}, |
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pages = {145-162}, |
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year = {2022}, |
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url = {https://doi.org/10.1162/tacl\_a\_00452}, |
|
doi = {10.1162/TACL\_A\_00452}, |
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timestamp = {Wed, 29 Jun 2022 16:03:22 +0200}, |
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biburl = {https://dblp.org/rec/journals/tacl/RameshDBJASSDJK22.bib}, |
|
bibsource = {dblp computer science bibliography, https://dblp.org} |
|
} |
|
``` |