Datasets:
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README.md
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---
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license: apache-2.0
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language:
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- en
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size_categories:
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- 10K<n<100K
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---
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[argilla/distilabel-intel-orca-dpo-pairs](https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs) in ChatML format.
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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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import pandas
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dataset = load_dataset("argilla/distilabel-intel-orca-dpo-pairs", split="train")
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def format(columns):
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prompt = f"<|im_start|>user\n{columns['input']}<|im_end|>\n<|im_start|>assistant\n"
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if (columns['system']):
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prompt = f"<|im_start|>system\n{columns['system']}<|im_end|>\n{prompt}"
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return {
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"prompt": prompt,
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"chosen": f"{columns['chosen']}<|im_end|>",
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"rejected": f"{columns['rejected']}<|im_end|>",
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}
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data_frame = pandas.DataFrame([format(columns) for columns in dataset]).to_parquet("train.parquet", index=False)
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```
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