# Dataset Card for "helpful-raw-anthropic"

This is a dataset derived from Anthropic's [HH-RLHF data](https://huggingface.co/datasets/Anthropic/hh-rlhf) of instructions and model-generated demonstrations. We combined training splits from the following two subsets:

* `helpful-base`
* `helpful-online`

To convert the multi-turn dialogues into `(instruction, demonstration)` pairs, just the first response from the Assistant was included. This heuristic captures the most obvious answers, but overlooks more complex questions where multiple turns were required to get a helpful response. Some additional filtering is likely required (e.g. defining a minimun length or computing ROUGE-L scores with the instruction/demonstration).
license:mit human-feedback region:us
{"license": "mit", "pretty_name": "Helpful Raw Anthropic", "dataset_info": {"features": [{"name": "instruction", "dtype": "string"}, {"name": "demonstration", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 34540085.04363476, "num_examples": 65499}], "download_size": 0, "dataset_size": 34540085.04363476}, "tags": ["human-feedback"]}
TAGS
#license-mit #human-feedback #region-us 

# Dataset Card for "helpful-raw-anthropic"

This is a dataset derived from Anthropic's HH-RLHF data of instructions and model-generated demonstrations. We combined training splits from the following two subsets:

* 'helpful-base'
* 'helpful-online'

To convert the multi-turn dialogues into '(instruction, demonstration)' pairs, just the first response from the Assistant was included. This heuristic captures the most obvious answers, but overlooks more complex questions where multiple turns were required to get a helpful response. Some additional filtering is likely required (e.g. defining a minimun length or computing ROUGE-L scores with the instruction/demonstration).
# Dataset Card for "helpful-raw-anthropic"

This is a dataset derived from Anthropic's HH-RLHF data of instructions and model-generated demonstrations. We combined training splits from the following two subsets:

* 'helpful-base'
* 'helpful-online'

To convert the multi-turn dialogues into '(instruction, demonstration)' pairs, just the first response from the Assistant was included. This heuristic captures the most obvious answers, but overlooks more complex questions where multiple turns were required to get a helpful response. Some additional filtering is likely required (e.g. defining a minimun length or computing ROUGE-L scores with the instruction/demonstration).
TAGS
#license-mit #human-feedback #region-us 
 # Dataset Card for "helpful-raw-anthropic"

This is a dataset derived from Anthropic's HH-RLHF data of instructions and model-generated demonstrations. We combined training splits from the following two subsets:

* 'helpful-base'
* 'helpful-online'

To convert the multi-turn dialogues into '(instruction, demonstration)' pairs, just the first response from the Assistant was included. This heuristic captures the most obvious answers, but overlooks more complex questions where multiple turns were required to get a helpful response. Some additional filtering is likely required (e.g. defining a minimun length or computing ROUGE-L scores with the instruction/demonstration).
passage: TAGS
#license-mit #human-feedback #region-us 
# Dataset Card for "helpful-raw-anthropic"

This is a dataset derived from Anthropic's HH-RLHF data of instructions and model-generated demonstrations. We combined training splits from the following two subsets:

* 'helpful-base'
* 'helpful-online'

To convert the multi-turn dialogues into '(instruction, demonstration)' pairs, just the first response from the Assistant was included. This heuristic captures the most obvious answers, but overlooks more complex questions where multiple turns were required to get a helpful response. Some additional filtering is likely required (e.g. defining a minimun length or computing ROUGE-L scores with the instruction/demonstration).