---
license: cc-by-4.0
task_categories:
- summarization
language:
- as
- bn
- gu
- hi
- mr
- ml
- mni
- kn
- pa
- ta
- or
- te
- ur
- en
size_categories:
- 100K<n<1M
---
# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:** 
- **Repository:** 
- **Paper:** 
- **Leaderboard:** 
- **Point of Contact:** 

### Dataset Summary

PMIndiaSum, a new multilingual and massively parallel headline summarization corpus focused on languages in India. Our corpus covers four language families, 14 languages, and the largest to date, 196 language pairs. It provides a testing ground for all cross-lingual pairs.
### Supported Tasks and Leaderboards

Multilingual and Crosslingual summarization

### Languages

Assamese, Bengali, Gujarati, Hindi, Kannada, Marathi, Malayalm, Manipuri, Punjabi, Oriya, Telugu, Tamil, Urdu, English

## Dataset Structure

The data comes in .jsonl format, where each JSON object correspond to all the data extracted from a single article. Each JSON object has the following fields:

{article_number,
 ${lang1}_text,
 ${lang1}_summary,
 ${lang1}_url,
 ${lang2}_text,
 ${lang2}_summary,
 ${lang2}_url,
 ...,
 split}
where ${lang}_text, ${lang}_summary, and ${lang}_url correspond to the text (document), summary (headline), and the source URL for each language ${lang} available for that article. split indicates the train/valid/test split of that entire article. Texts and summaries can be paired to form cross-lingual data pairs.

Unless you have a specific need, we request you to respect the split decision to prevent test data leakage, especially for multilingual models. You could refer to our paper for a detailed explanation.

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### 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

[More Information Needed]

### Citation Information
If you are using the PMIndiaSum corpus, please cite the following article:

```
@article{urlana2023pmindiasum,
    title={{PMIndiaSum}: Multilingual and Cross-lingual Headline Summarization for Languages in {India}}, 
    author={Urlana, Ashok and Chen, Pinzhen and Zhao, Zheng and Cohen, Shay B. and Shrivastava, Manish and Haddow, Barry},
    journal={arXiv preprint arXiv:2305.08828},
    url ={https://arxiv.org/abs/2305.08828},
    year={2023}
}
```

### Contributions

Ashok Urlana
Pinzhen Chen
Zheng Zhao
Shay B. Cohen
Manish Shrivastava
Barry Haddow

### Contact

Ashok Urlana (ashokurlana@gmail.com)