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README.md
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---
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: test
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path: data/test-*
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dataset_info:
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features:
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- name: prompt
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dtype: string
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- name: prompt_id
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dtype: string
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- name: messages
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list:
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- name: content
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dtype: string
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- name: role
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dtype: string
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- name: category
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dtype: string
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splits:
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- name: train
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num_bytes: 16496867
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num_examples: 9500
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- name: test
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num_bytes: 887460
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num_examples: 500
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download_size: 11045587
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dataset_size: 17384327
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---
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This is a converted version of the no_robots dataset into Tulu SFT training format.
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The conversion script can be found in our [open-instruct](https://github.com/allenai/open-instruct/blob/main/scripts/data/sft/no_robots.py) repo.
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The conversion took the following parameters:
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- apply_keyword_filters: False
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- apply_empty_message_filters:
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- push_to_hub: True
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- hf_entity: ai2-adapt-dev
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- converted_dataset_name: no_robots_converted
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This is a converted version of the no_robots dataset into Tulu SFT training format.
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The conversion script can be found in our [open-instruct](https://github.com/allenai/open-instruct/blob/main/scripts/data/sft/no_robots.py) repo.
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The conversion took the following parameters:
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- apply_keyword_filters: False
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- apply_empty_message_filters: False
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- push_to_hub: True
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- hf_entity: ai2-adapt-dev
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- converted_dataset_name: no_robots_converted
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