metadata

annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
  - found
  - machine-generated
language:
  - as
  - bn
  - en
  - gu
  - hi
  - kn
  - ml
  - mr
  - or
  - pa
  - ta
  - te
  - ur
license:
  - cc0-1.0
multilinguality:
  - multilingual
size_categories:
  - 1K<n<10K
task_categories:
  - text-classification
task_ids:
  - text-scoring
  - semantic-similarity-scoring
pretty_name: Indic STS
configs:
  - config_name: default
    data_files:
      - path: test/*.parquet
        split: test
  - config_name: en-bn
    data_files:
      - path: test/en-bn.parquet
        split: test
  - config_name: en-hi
    data_files:
      - path: test/en-hi.parquet
        split: test
  - config_name: en-or
    data_files:
      - path: test/en-or.parquet
        split: test
  - config_name: en-ml
    data_files:
      - path: test/en-ml.parquet
        split: test
  - config_name: en-as
    data_files:
      - path: test/en-as.parquet
        split: test
  - config_name: en-pa
    data_files:
      - path: test/en-pa.parquet
        split: test
  - config_name: en-ta
    data_files:
      - path: test/en-ta.parquet
        split: test
  - config_name: en-gu
    data_files:
      - path: test/en-gu.parquet
        split: test
  - config_name: en-kn
    data_files:
      - path: test/en-kn.parquet
        split: test
  - config_name: en-te
    data_files:
      - path: test/en-te.parquet
        split: test
  - config_name: en-ur
    data_files:
      - path: test/en-ur.parquet
        split: test
  - config_name: en-mr
    data_files:
      - path: test/en-mr.parquet
        split: test
tags:
  - multilingual
  - 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 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

{
   "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

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

Citation

@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}
}