
# Human feedback data

This is the version of the dataset used in https://arxiv.org/abs/2310.06452.

If starting a new project we would recommend using https://huggingface.co/datasets/openai/summarize_from_feedback.

See https://github.com/openai/summarize-from-feedback for original details of the dataset.

Here the data is formatted to enable huggingface transformers sequence classification models to be trained as reward functions.

task_categories:text-classification annotations_creators:crowdsourced language_creators:crowdsourced language_creators:expert-generated multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:en license:mit alignment text-classification summarisation human-feedback arxiv:2310.06452 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced", "expert-generated"], "language": ["en"], "license": ["mit"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "summarisation feedback", "tags": ["alignment", "text-classification", "summarisation", "human-feedback"]}
TAGS
#task_categories-text-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #alignment #text-classification #summarisation #human-feedback #arxiv-2310.06452 #region-us 


# Human feedback data

This is the version of the dataset used in URL

If starting a new project we would recommend using URL

See URL for original details of the dataset.

Here the data is formatted to enable huggingface transformers sequence classification models to be trained as reward functions.

# Human feedback data

This is the version of the dataset used in URL

If starting a new project we would recommend using URL

See URL for original details of the dataset.

Here the data is formatted to enable huggingface transformers sequence classification models to be trained as reward functions.
TAGS
#task_categories-text-classification #annotations_creators-crowdsourced #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-mit #alignment #text-classification #summarisation #human-feedback #arxiv-2310.06452 #region-us 
 # Human feedback data

This is the version of the dataset used in URL

If starting a new project we would recommend using URL

See URL for original details of the dataset.

Here the data is formatted to enable huggingface transformers sequence classification models to be trained as reward functions.