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--- |
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language: |
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- en |
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license: mit |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- text-generation |
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pretty_name: UltraChat 200k |
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--- |
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[HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) in ChatML format, ready to use in [HuggingFace TRL's SFT Trainer](https://huggingface.co/docs/trl/main/en/sft_trainer). |
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Python code used for conversion: |
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```python |
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from datasets import load_dataset |
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from transformers import AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("Felladrin/Llama-160M-Chat-v1") |
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dataset = load_dataset("HuggingFaceH4/ultrachat_200k", split="train_sft") |
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def format(columns): |
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return { "text": tokenizer.apply_chat_template(columns["messages"], tokenize=False) } |
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dataset.map(format).select_columns(['text', 'prompt', 'prompt_id']).to_parquet("train.parquet") |
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``` |
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