
# Dataset Card for CVIT MKB

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [Link](http://preon.iiit.ac.in/~jerin/bhasha/) 
- **Repository:**
- **Paper:** [ARXIV](https://arxiv.org/abs/2007.07691)
- **Leaderboard:** 
- **Point of Contact:** [email](cvit-bhasha@googlegroups.com)

### Dataset Summary

Indian Prime Minister's speeches - Mann Ki Baat, on All India Radio, translated into many languages.

### Supported Tasks and Leaderboards

[MORE INFORMATION NEEDED]

### Languages

Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English

## Dataset Structure

### Data Instances

[MORE INFORMATION NEEDED]

### Data Fields

- `src_tag`: `string` text in source language
- `tgt_tag`: `string` translation of source language in target language

### Data Splits

[MORE INFORMATION NEEDED]

## Dataset Creation

### Curation Rationale

[MORE INFORMATION NEEDED]

### Source Data

[MORE INFORMATION NEEDED]

#### 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

The datasets and pretrained models provided here are licensed under Creative Commons Attribution-ShareAlike 4.0 International License.

### Citation Information

```
@misc{siripragada2020multilingual,
      title={A Multilingual Parallel Corpora Collection Effort for Indian Languages},
      author={Shashank Siripragada and Jerin Philip and Vinay P. Namboodiri and C V Jawahar},
      year={2020},
      eprint={2007.07691},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```

### Contributions

Thanks to [@vasudevgupta7](https://github.com/vasudevgupta7) for adding this dataset.
task_categories:text-generation task_categories:fill-mask task_ids:language-modeling task_ids:masked-language-modeling annotations_creators:no-annotation multilinguality:translation size_categories:1K<n<10K size_categories:n<1K source_datasets:original language:bn language:en language:gu language:hi language:ml language:mr language:or language:pa language:ta language:te language:ur license:cc-by-4.0 arxiv:2007.07691 region:us
{"annotations_creators": ["no-annotation"], "language": ["bn", "en", "gu", "hi", "ml", "mr", "or", "pa", "ta", "te", "ur"], "license": ["cc-by-4.0"], "multilinguality": ["translation"], "size_categories": ["1K<n<10K", "n<1K"], "source_datasets": ["original"], "task_categories": ["text-generation", "fill-mask"], "task_ids": ["language-modeling", "masked-language-modeling"], "pretty_name": "CVIT MKB", "config_names": ["bn-en", "bn-gu", "bn-hi", "bn-ml", "bn-mr", "bn-or", "bn-ta", "bn-te", "bn-ur", "en-gu", "en-hi", "en-ml", "en-mr", "en-or", "en-ta", "en-te", "en-ur", "gu-hi", "gu-ml", "gu-mr", "gu-or", "gu-ta", "gu-te", "gu-ur", "hi-ml", "hi-mr", "hi-or", "hi-ta", "hi-te", "hi-ur", "ml-mr", "ml-or", "ml-ta", "ml-te", "ml-ur", "mr-or", "mr-ta", "mr-te", "mr-ur", "or-ta", "or-te", "or-ur", "ta-te", "ta-ur", "te-ur"], "dataset_info": [{"config_name": "or-ur", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["or", "ur"]}}}], "splits": [{"name": "train", "num_bytes": 39336, "num_examples": 98}], "download_size": 52428800, "dataset_size": 39336}, {"config_name": "ml-or", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["ml", "or"]}}}], "splits": [{"name": "train", "num_bytes": 224084, "num_examples": 427}], "download_size": 52428800, "dataset_size": 224084}, {"config_name": "bn-ta", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["bn", "ta"]}}}], "splits": [{"name": "train", "num_bytes": 2020506, "num_examples": 3460}], "download_size": 52428800, "dataset_size": 2020506}, {"config_name": "gu-mr", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["gu", "mr"]}}}], "splits": [{"name": "train", "num_bytes": 1818018, "num_examples": 3658}], "download_size": 52428800, "dataset_size": 1818018}, {"config_name": "hi-or", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["hi", "or"]}}}], "splits": [{"name": "train", "num_bytes": 188779, "num_examples": 389}], "download_size": 52428800, "dataset_size": 188779}, {"config_name": "en-or", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["en", "or"]}}}], "splits": [{"name": "train", "num_bytes": 276520, "num_examples": 768}], "download_size": 52428800, "dataset_size": 276520}, {"config_name": "mr-ur", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["mr", "ur"]}}}], "splits": [{"name": "train", "num_bytes": 225305, "num_examples": 490}], "download_size": 52428800, "dataset_size": 225305}, {"config_name": "en-ta", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["en", "ta"]}}}], "splits": [{"name": "train", "num_bytes": 2578828, "num_examples": 5744}], "download_size": 52428800, "dataset_size": 2578828}, {"config_name": "hi-ta", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["hi", "ta"]}}}], "splits": [{"name": "train", "num_bytes": 1583237, "num_examples": 2761}], "download_size": 52428800, "dataset_size": 1583237}, {"config_name": "bn-en", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["bn", "en"]}}}], "splits": [{"name": "train", "num_bytes": 2001834, "num_examples": 5634}], "download_size": 52428800, "dataset_size": 2001834}, {"config_name": "bn-or", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["bn", "or"]}}}], "splits": [{"name": "train", "num_bytes": 220893, "num_examples": 447}], "download_size": 52428800, "dataset_size": 220893}, {"config_name": "ml-ta", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["ml", "ta"]}}}], "splits": [{"name": "train", "num_bytes": 1958818, "num_examples": 3124}], "download_size": 52428800, "dataset_size": 1958818}, {"config_name": "gu-ur", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["gu", "ur"]}}}], "splits": [{"name": "train", "num_bytes": 311082, "num_examples": 749}], "download_size": 52428800, "dataset_size": 311082}, {"config_name": "bn-ml", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["bn", "ml"]}}}], "splits": [{"name": "train", "num_bytes": 1587528, "num_examples": 2938}], "download_size": 52428800, "dataset_size": 1587528}, {"config_name": "bn-hi", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["bn", "hi"]}}}], "splits": [{"name": "train", "num_bytes": 1298611, "num_examples": 2706}], "download_size": 52428800, "dataset_size": 1298611}, {"config_name": "gu-te", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["gu", "te"]}}}], "splits": [{"name": "train", "num_bytes": 1669386, "num_examples": 3528}], "download_size": 52428800, "dataset_size": 1669386}, {"config_name": "hi-ml", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["hi", "ml"]}}}], "splits": [{"name": "train", "num_bytes": 1208956, "num_examples": 2305}], "download_size": 52428800, "dataset_size": 1208956}, {"config_name": "or-te", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["or", "te"]}}}], "splits": [{"name": "train", "num_bytes": 209457, "num_examples": 440}], "download_size": 52428800, "dataset_size": 209457}, {"config_name": "en-ml", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["en", "ml"]}}}], "splits": [{"name": "train", "num_bytes": 2007061, "num_examples": 5017}], "download_size": 52428800, "dataset_size": 2007061}, {"config_name": "en-hi", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["en", "hi"]}}}], "splits": [{"name": "train", "num_bytes": 1865430, "num_examples": 5272}], "download_size": 52428800, "dataset_size": 1865430}, {"config_name": "mr-te", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["mr", "te"]}}}], "splits": [{"name": "train", "num_bytes": 1434444, "num_examples": 2839}], "download_size": 52428800, "dataset_size": 1434444}, {"config_name": "bn-te", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["bn", "te"]}}}], "splits": [{"name": "train", "num_bytes": 1431096, "num_examples": 2939}], "download_size": 52428800, "dataset_size": 1431096}, {"config_name": "gu-hi", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["gu", "hi"]}}}], "splits": [{"name": "train", "num_bytes": 1521174, "num_examples": 3213}], "download_size": 52428800, "dataset_size": 1521174}, {"config_name": "ta-ur", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["ta", "ur"]}}}], "splits": [{"name": "train", "num_bytes": 329809, "num_examples": 637}], "download_size": 52428800, "dataset_size": 329809}, {"config_name": "te-ur", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["te", "ur"]}}}], "splits": [{"name": "train", "num_bytes": 254581, "num_examples": 599}], "download_size": 52428800, "dataset_size": 254581}, {"config_name": "gu-ml", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["gu", "ml"]}}}], "splits": [{"name": "train", "num_bytes": 1822865, "num_examples": 3469}], "download_size": 52428800, "dataset_size": 1822865}, {"config_name": "hi-te", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["hi", "te"]}}}], "splits": [{"name": "train", "num_bytes": 1078371, "num_examples": 2289}], "download_size": 52428800, "dataset_size": 1078371}, {"config_name": "en-te", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["en", "te"]}}}], "splits": [{"name": "train", "num_bytes": 1784517, "num_examples": 5177}], "download_size": 52428800, "dataset_size": 1784517}, {"config_name": "ml-te", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["ml", "te"]}}}], "splits": [{"name": "train", "num_bytes": 1556164, "num_examples": 2898}], "download_size": 52428800, "dataset_size": 1556164}, {"config_name": "hi-ur", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["hi", "ur"]}}}], "splits": [{"name": "train", "num_bytes": 313360, "num_examples": 742}], "download_size": 52428800, "dataset_size": 313360}, {"config_name": "mr-or", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["mr", "or"]}}}], "splits": [{"name": "train", "num_bytes": 219193, "num_examples": 432}], "download_size": 52428800, "dataset_size": 219193}, {"config_name": "en-ur", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["en", "ur"]}}}], "splits": [{"name": "train", "num_bytes": 289419, "num_examples": 1019}], "download_size": 52428800, "dataset_size": 289419}, {"config_name": "ml-ur", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["ml", "ur"]}}}], "splits": [{"name": "train", "num_bytes": 295806, "num_examples": 624}], "download_size": 52428800, "dataset_size": 295806}, {"config_name": "bn-mr", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["bn", "mr"]}}}], "splits": [{"name": "train", "num_bytes": 1554154, "num_examples": 3054}], "download_size": 52428800, "dataset_size": 1554154}, {"config_name": "gu-ta", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["gu", "ta"]}}}], "splits": [{"name": "train", "num_bytes": 2284643, "num_examples": 3998}], "download_size": 52428800, "dataset_size": 2284643}, {"config_name": "bn-gu", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["bn", "gu"]}}}], "splits": [{"name": "train", "num_bytes": 1840059, "num_examples": 3810}], "download_size": 52428800, "dataset_size": 1840059}, {"config_name": "bn-ur", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["bn", "ur"]}}}], "splits": [{"name": "train", "num_bytes": 234561, "num_examples": 559}], "download_size": 52428800, "dataset_size": 234561}, {"config_name": "ml-mr", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["ml", "mr"]}}}], "splits": [{"name": "train", "num_bytes": 1568672, "num_examples": 2803}], "download_size": 52428800, "dataset_size": 1568672}, {"config_name": "or-ta", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["or", "ta"]}}}], "splits": [{"name": "train", "num_bytes": 267193, "num_examples": 470}], "download_size": 52428800, "dataset_size": 267193}, {"config_name": "ta-te", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["ta", "te"]}}}], "splits": [{"name": "train", "num_bytes": 1773728, "num_examples": 3100}], "download_size": 52428800, "dataset_size": 1773728}, {"config_name": "gu-or", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["gu", "or"]}}}], "splits": [{"name": "train", "num_bytes": 256362, "num_examples": 541}], "download_size": 52428800, "dataset_size": 256362}, {"config_name": "en-gu", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["en", "gu"]}}}], "splits": [{"name": "train", "num_bytes": 2318080, "num_examples": 6615}], "download_size": 52428800, "dataset_size": 2318080}, {"config_name": "hi-mr", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["hi", "mr"]}}}], "splits": [{"name": "train", "num_bytes": 1243583, "num_examples": 2491}], "download_size": 52428800, "dataset_size": 1243583}, {"config_name": "mr-ta", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["mr", "ta"]}}}], "splits": [{"name": "train", "num_bytes": 1906073, "num_examples": 3175}], "download_size": 52428800, "dataset_size": 1906073}, {"config_name": "en-mr", "features": [{"name": "translation", "dtype": {"translation": {"languages": ["en", "mr"]}}}], "splits": [{"name": "train", "num_bytes": 2140298, "num_examples": 5867}], "download_size": 52428800, "dataset_size": 2140298}]}
TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #multilinguality-translation #size_categories-1K<n<10K #size_categories-n<1K #source_datasets-original #language-Bengali #language-English #language-Gujarati #language-Hindi #language-Malayalam #language-Marathi #language-Oriya (macrolanguage) #language-Panjabi #language-Tamil #language-Telugu #language-Urdu #license-cc-by-4.0 #arxiv-2007.07691 #region-us 


# Dataset Card for CVIT MKB

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Homepage: Link 
- Repository:
- Paper: ARXIV
- Leaderboard: 
- Point of Contact: email

### Dataset Summary

Indian Prime Minister's speeches - Mann Ki Baat, on All India Radio, translated into many languages.

### Supported Tasks and Leaderboards

[MORE INFORMATION NEEDED]

### Languages

Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English

## Dataset Structure

### Data Instances

[MORE INFORMATION NEEDED]

### Data Fields

- 'src_tag': 'string' text in source language
- 'tgt_tag': 'string' translation of source language in target language

### Data Splits

[MORE INFORMATION NEEDED]

## Dataset Creation

### Curation Rationale

[MORE INFORMATION NEEDED]

### Source Data

[MORE INFORMATION NEEDED]

#### 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

The datasets and pretrained models provided here are licensed under Creative Commons Attribution-ShareAlike 4.0 International License.





### Contributions

Thanks to @vasudevgupta7 for adding this dataset.
# Dataset Card for CVIT MKB ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: Link 
- Repository:
- Paper: ARXIV
- Leaderboard: 
- Point of Contact: email ### Dataset Summary

Indian Prime Minister's speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Supported Tasks and Leaderboards

[MORE INFORMATION NEEDED] ### Languages

Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English ## Dataset Structure ### Data Instances

[MORE INFORMATION NEEDED] ### Data Fields

- 'src_tag': 'string' text in source language
- 'tgt_tag': 'string' translation of source language in target language ### Data Splits

[MORE INFORMATION NEEDED] ## Dataset Creation ### Curation Rationale

[MORE INFORMATION NEEDED] ### Source Data

[MORE INFORMATION NEEDED] #### 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

The datasets and pretrained models provided here are licensed under Creative Commons Attribution-ShareAlike 4.0 International License. ### Contributions

Thanks to @vasudevgupta7 for adding this dataset.
TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #multilinguality-translation #size_categories-1K<n<10K #size_categories-n<1K #source_datasets-original #language-Bengali #language-English #language-Gujarati #language-Hindi #language-Malayalam #language-Marathi #language-Oriya (macrolanguage) #language-Panjabi #language-Tamil #language-Telugu #language-Urdu #license-cc-by-4.0 #arxiv-2007.07691 #region-us 
 # Dataset Card for CVIT MKB ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Homepage: Link 
- Repository:
- Paper: ARXIV
- Leaderboard: 
- Point of Contact: email ### Dataset Summary

Indian Prime Minister's speeches - Mann Ki Baat, on All India Radio, translated into many languages. ### Supported Tasks and Leaderboards

[MORE INFORMATION NEEDED] ### Languages

Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English ## Dataset Structure ### Data Instances

[MORE INFORMATION NEEDED] ### Data Fields

- 'src_tag': 'string' text in source language
- 'tgt_tag': 'string' translation of source language in target language ### Data Splits

[MORE INFORMATION NEEDED] ## Dataset Creation ### Curation Rationale

[MORE INFORMATION NEEDED] ### Source Data

[MORE INFORMATION NEEDED] #### 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

The datasets and pretrained models provided here are licensed under Creative Commons Attribution-ShareAlike 4.0 International License. ### Contributions

Thanks to @vasudevgupta7 for adding this dataset.
passage: TAGS
#task_categories-text-generation #task_categories-fill-mask #task_ids-language-modeling #task_ids-masked-language-modeling #annotations_creators-no-annotation #multilinguality-translation #size_categories-1K<n<10K #size_categories-n<1K #source_datasets-original #language-Bengali #language-English #language-Gujarati #language-Hindi #language-Malayalam #language-Marathi #language-Oriya (macrolanguage) #language-Panjabi #language-Tamil #language-Telugu #language-Urdu #license-cc-by-4.0 #arxiv-2007.07691 #region-us 
# Dataset Card for CVIT MKB## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions## Dataset Description

- Homepage: Link 
- Repository:
- Paper: ARXIV
- Leaderboard: 
- Point of Contact: email### Dataset Summary

Indian Prime Minister's speeches - Mann Ki Baat, on All India Radio, translated into many languages.### Supported Tasks and Leaderboards

[MORE INFORMATION NEEDED]### Languages

Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English## Dataset Structure### Data Instances

[MORE INFORMATION NEEDED]### Data Fields

- 'src_tag': 'string' text in source language
- 'tgt_tag': 'string' translation of source language in target language### Data Splits

[MORE INFORMATION NEEDED]## Dataset Creation