--- license: other license_name: krutrim-community-license-agreement-version-1.0 license_link: LICENSE configs: - config_name: Chitrakshara-Cap data_files: - split: train path: Chitrakshara-Cap/train-* - config_name: Chitrakshara-IL data_files: - split: train path: Chitrakshara-IL/train-* dataset_info: - config_name: Chitrakshara-Cap features: - name: text dtype: string - name: image dtype: string splits: - name: train num_bytes: 50538188.290105306 num_examples: 199985 download_size: 30251386 dataset_size: 50538188.290105306 - config_name: Chitrakshara-IL features: - name: texts sequence: string - name: metadata list: - name: alt_text dtype: string - name: document_url dtype: string - name: format dtype: string - name: formatted_filename dtype: string - name: original_height dtype: int64 - name: original_width dtype: int64 - name: rendered_height dtype: int64 - name: rendered_width dtype: int64 - name: src dtype: string - name: unformatted_src dtype: string - name: general_metadata dtype: string - name: images sequence: string splits: - name: train num_bytes: 1394597149 num_examples: 200000 download_size: 550868464 dataset_size: 1394597149 --- # Dataset Card for Chitrakshara: A Large Multilingual Multimodal Dataset for Indian languages ## Dataset Description We introduce the Chitrakshara dataset series, covering 11 Indian languages sourced from Common Crawl. It comprises: (1) Chitrakshara-IL (Interleaved), a large-scale interleaved image-text web documents (2) Chitrakshara-Cap, image captioning dataset based on corresponding alt-text descriptions ## Supported Languages - Hindi - Bengali - Tamil - Malayalam - Telugu - Marathi - Kannada - Gujarati - Punjabi - Oriya - Assamese ## Data Fields We follow the same format as [OBELICS](https://huggingface.co/datasets/HuggingFaceM4/OBELICS/) in our dataset for uniformity. An example of a sample looks as follows: ``` { 'images': [ None, 'https://ananttvlive.com/static/c1e/client/82638/uploaded/bd327ae26fd0ec3bed3b6ed250c343d1.jpg?width=789&height=605&resizemode=4', None ], 'metadata': '[null, { "alt_text": "sdf", "document_url": "https://ananttvlive.com/Country/the-mela-committee-has-created-a-food-zone-at-the-garba/cid12523684.htm", "format": "jpeg", "formatted_filename": "bd ae fd ec bed b ed c d", "original_height": 605, "original_width": 789, "rendered_height": 153, "rendered_width": 200, "src": "https://ananttvlive.com/static/c1e/client/82638/uploaded/bd327ae26fd0ec3bed3b6ed250c343d1.jpg?width=789&height=605&resizemode=4", "unformatted_src": "https://ananttvlive.com/static/c1e/client/82638/uploaded/bd327ae26fd0ec3bed3b6ed250c343d1.jpg?width=789&height=605&resizemode=4" }, null]', 'general_metadata': '{"url": "https://ananttvlive.com/Country/the-mela-committee-has-created-a-food-zone-at-the-garba/cid12523684.html", "warc_filename": "crawl-data/CC-MAIN-2023-50/segments/1700679100800.25/warc/CC-MAIN-20231209040008-20231209070008-00281.warc.gz", "warc_record_offset": 120398051, "warc_record_length": 17512}', 'texts': [ 'मेला समिति ने इस बार गरबा स्थल पर फूड जोन बनाया है। यहां बड़ी संख्या में युवाओं ने चटपटे व्यंजनों का लुत्फ उठाया।', None, 'गुजराती गरबा धुन तारा बिना श्याम मने एकालडू चलो के साथ युवाओं के हुजूम ने गुजराती लय में गरबा किया तो सिंधी गीत मुंहिंजो खटी आयो खैर सां होजमालो की धुन पर सिंधी स्टाइल में डांडिया करते हुए युवाओं को हुजूम झूम उठा।...मेला समिति के अध्यक्ष मनीष दरियानी के अनुसार शनिवार को गायक कलाकार शुभम नाथानी गरबे में शामिल होंगे।' ] } ``` Similar to OBELICS, each sample is composed of the same 4 fields: `images`, `texts`, `metadata`, and `general_metadata`. `images` and `texts` are two lists of the same size, where for each index, one element and only one is not `None`. For example, for the interleaved web document `text`, we would find `[image_1, None, image_2]` in `images` and `[None, text, None]` in `texts`. The images are replaced by their URLs, and the users need to download the images. [This repo](https://github.com/im-ajaymeena/obelics-dataset/tree/main) could be a good starting point. `metadata` is the string representation of a list containing information about each of the images. It has the same length as `texts` and `images` and logs for each image relevant information such as original source document, unformatted source, alternative text if present, etc. `general_metadata` is the string representation of a dictionary containing the URL of the document, and information regarding the extraction from Common Crawl snapshots. ## Author Statement We acknowledge that Chitrakshara may reflect inherent biases present in online content, as the dataset is sourced from the internet. Nonetheless, its multilingual and inclusive composition marks a significant step toward enhancing the accessibility of diverse languages, cultures, and communities for training India-centric Vision-Language Models (VLMs). While we have taken rigorous measures to ensure the accuracy and legality of the dataset, we cannot guarantee its absolute completeness or correctness. Consequently, the authors assume no liability for any potential legal or ethical concerns, including but not limited to copyright infringement, privacy violations, or the misuse of sensitive information. ## Terms of Use By using the dataset, you agree to comply with the original licenses of the source content as well as the dataset license. Additionally, if you use this dataset to train a Machine Learning model, you agree to disclose your use of the dataset when releasing the model or an ML application using the model. ## Citation ``` @inproceedings{khan2025chitrakshara, title={Chitrakshara: A Large Multilingual Multimodal Dataset for Indian languages}, author={Khan, Shaharukh and Faraz, Ali and Ravi, Abhinav and Nauman, Mohd and Sarfraz, Mohd and Patidar, Akshat and Kolla, Raja and Khatri, Chandra and Agarwal, Shubham}, booktitle={CVPR 2025 Workshop Vision Language Models For All} } ``` ## Contact Contributions are welcome! If you have any improvements or suggestions, feel free to submit a pull request on GitHub. ## Author Statement While we have taken extreme care in removing the NSFW content and biased outputs using automated pipelines, there might be cases which could still be present in the dataset. Please let us know if you still find any such content and we will remove these cases from our dataset. ## Acknowledgement Chitrakshara is built with reference to the code of the following projects: [OBELICS](https://huggingface.co/datasets/HuggingFaceM4/OBELICS/). Thanks for their awesome work!