Create README.md

README.md

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+---
+language:
+- en
+- hi
+---
+# Reproducing GPT-2 for Indic Languages
+
+This Dataset is part of my project on "Reproducing GPT-2 for Indic Languages". Check out the main repository: [https://github.com/Shaligram-Dewangan/GPT-2-for-Indic-Languages](https://github.com/Shaligram-Dewangan/GPT-2-for-Indic-Languages)
+
+## Dataset Description
+
+This is a tokenized text data for pre-training small sized language models and learning purposes.
+
+This dataset contains approximately 20 billion English + Hindi language tokens. It is tokenized using a [custom BPE Tokeinzer](https://github.com/Shaligram-Dewangan/GPT-2-for-Indic-Languages/blob/main/tokenizer/tokenizer.json). The English dataset is from [Fineweb-Edu](https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1) [sample-10BT](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu/tree/main/sample/10BT) and Hindi dataset is from [Fineweb-2](https://huggingface.co/spaces/HuggingFaceFW/blogpost-fine-tasks) [hin_Deva](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2/tree/main/data/hin_Deva/train) dataset.
+
+## Dataset Card
+
+|   **Attribute**    |        **Details**        | 
+|:-------------------|:-------------------------:| 
+| Total size         | ~20.6 Billion tokens      | 
+| Size on disk       | ~40 GB                    | 
+| Languages          | English and Hindi         |
+| English tokens     | ~10.6 Billion             | 
+| Hindi tokens       | ~10 Billion               | 
+| Mixing type        | [Random mixing](https://github.com/Shaligram-Dewangan/GPT-2-for-Indic-Languages/blob/main/data/tokenize_datasets.py) | 
+| Tokenizer          | [BPE tokenizer](https://github.com/Shaligram-Dewangan/GPT-2-for-Indic-Languages/blob/main/tokenizer/tokenizer.json)  | 
+| Data Source        | [Fineweb-v1](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu) and [Fineweb-v2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2) |
+
+## References
+
+1. Penedo et al. *The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale*, 2024. [Blog](https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1) · [Fineweb-Edu Repo](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu)
+
+2. Kydlicek et al. *FineTasks: Finding signal in a haystack of 200+ multilingual tasks*, 2024. [Blog](https://huggingface.co/spaces/HuggingFaceFW/blogpost-fine-tasks) · [Fineweb-2 Repo](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2)