---
title: indic_sts
canonical_url: "https://www.modelscope.cn/datasets/MTEB/indic_sts"
md_url: "https://www.modelscope.cn/datasets/MTEB/indic_sts.md"
repository: MTEB/indic_sts
last_updated: 2024-09-06
license: "[cc0-1.0]"
storage_size: "977 KB"
domain:
  - configs
  - size_categories
  - annotations_creators
  - pretty_name
  - language_creators
  - multilinguality
  - task_ids
  - task_categories
  - language
tasks:
  - "{config_name=en-mr, data_files=[{path=test/en-mr.parquet, split=test}]}"
  - "1K<n<10K"
  - crowdsourced
  - "Indic STS"
  - machine-generated
  - multilingual
  - semantic-similarity-scoring
  - text-classification
  - ur
downloads: 2745
stars: 0
---

# indic_sts

> indic_sts - MTEB 在 ModelScope 开源的数据集。Dataset Card for Indic STS

MTEB/indic_sts 是 ModelScope 魔搭社区上的{config_name=en-mr, data_files=[{path=test/en-mr.parquet, split=test}]}、1K<n<10K、crowdsourced数据集，涉及 configs、size_categories、annotations_creators 领域，存储大小 977 KB，采用 [cc0-1.0] 许可。

- **Repository**: MTEB/indic_sts
- **License**: [cc0-1.0]
- **Tasks**: {config_name=en-mr, data_files=[{path=test/en-mr.parquet, split=test}]}, 1K<n<10K, crowdsourced, Indic STS, machine-generated, multilingual, semantic-similarity-scoring, text-classification, ur
- **Domain**: configs, size_categories, annotations_creators, pretty_name, language_creators, multilinguality, task_ids, task_categories, language
- **Storage size**: 977 KB
- **Downloads**: 2745
- **Stars**: 0
- **Last updated**: 2024-09-06

Source: https://www.modelscope.cn/datasets/MTEB/indic_sts

---

# 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.

### Languages
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

- lang_code: 2-digit ISO language code
- source: The source from which the candidate sentence is considered.
- english_sentence: The full sentence in the English language.
- indic_sentence: The full sentence in the corresponding Indic language.
- score: The similarity score as a float which is <= 5.0 and >= 0.0.

#### Data Instances

```json
{
   "lang_code":"hi",
   "source":"CatchNews",
   "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",
   "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",
   "score":4.0
}
```

#### 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 |
|------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|-------|
| test | 656   | 957   | 780   | 1268  | 953   | 947   | 779   | 500   | 688   | 1044  | 948   | 500   |

### Examples of Use

```python3
from datasets import load_dataset
dataset = load_dataset("jaygala24/indic_sts", name="en-hi", split="test")
```


### Citation

```bibtex
@article{DBLP:journals/tacl/RameshDBJASSDJK22,
  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},
  title     = {Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages},
  journal   = {Trans. Assoc. Comput. Linguistics},
  volume    = {10},
  pages     = {145-162},
  year      = {2022},
  url       = {https://doi.org/10.1162/tacl\_a\_00452},
  doi       = {10.1162/TACL\_A\_00452},
  timestamp = {Wed, 29 Jun 2022 16:03:22 +0200},
  biburl    = {https://dblp.org/rec/journals/tacl/RameshDBJASSDJK22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
```