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## Dataset Structure
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We structure the dataset using the format commonly used as input into [Hugging Face Chat Templates](https://huggingface.co/docs/transformers/chat_templating):
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### Source Data
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- **Source Dataset:** https://huggingface.co/datasets/databricks/databricks-dolly-15k
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#### Data Collection and Processing
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We started with https://huggingface.co/datasets/databricks/databricks-dolly-15k.
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- Duplicate or very similar responses
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- Responses where the AI was actually responding like a person (present in this dataset as the responses are created by humans pretending to be an AI, and no everyone followed these instructions closely)
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- Profanity or inappropriate responses for an AI
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- Very short response lengths (often below 50 or 200 characters)
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# License
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## Dataset Structure
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We structure the dataset using the format commonly used as input into [Hugging Face Chat Templates](https://huggingface.co/docs/transformers/chat_templating). Where present, the context field text has been appending to the instruction in OpenAI style `Text: """..."""` format.
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### Source Data
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- **Source Dataset:** https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-multilingual and https://huggingface.co/datasets/databricks/databricks-dolly-15k
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#### Data Collection and Processing
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We started with https://huggingface.co/datasets/argilla/databricks-dolly-15k-curated-multilingual (en split only) which is a manually curated version of https://huggingface.co/datasets/databricks/databricks-dolly-15k.
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As well as formatting to fit HF Chat style, we removed many duplicates based on the instruction text. This ensures the dataset is diverse and not repetitive.
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# License
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