|
--- |
|
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 |
|
- name: prompt_id |
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dtype: string |
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- name: messages |
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list: |
|
- name: content |
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dtype: string |
|
- name: role |
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dtype: string |
|
- name: category |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 16496867 |
|
num_examples: 9500 |
|
- name: test |
|
num_bytes: 887460 |
|
num_examples: 500 |
|
download_size: 11045587 |
|
dataset_size: 17384327 |
|
--- |
|
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: True |
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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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- local_save_dir: ./data/sft/no_robots |
|
|
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Please refer to the [original dataset](https://huggingface.co/datasets/HuggingFaceH4/no_robots) for more information about this dataset and the license. |