
# Dataset card for Instruct Me

## Dataset Description

- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** Lewis Tunstall

### Dataset summary

Instruct Me is a dataset of prompts and instruction dialogues between a human user and AI assistant. The prompts are derived from (prompt, completion) pairs in the [Helpful Instructions dataset](https://huggingface.co/datasets/HuggingFaceH4/helpful_instructions). The goal is to train a language model to that is "chatty" and can answer the kind of questions or tasks a human user might instruct an AI assistant to perform.

### Supported Tasks and Leaderboard

We provide 3 configs that can be used for training RLHF models:

#### instruction_tuning

Single-turn user/bot dialogues for instruction tuning.

#### reward_modeling

Prompts to generate model completions and collect human preference data

#### ppo

Prompts to generate model completions for optimization of the instruction-tuned model with techniques like PPO.

### Changelog

* March 6, 2023: `v1.1.0` release. Changed the `text` columns for the `reward_modeling` and `ppo` configs to `prompt` for consistency with our dataset schemas elsewhere.
* March 5, 2023: `v1.0.0` release.
task_categories:conversational task_categories:text-generation language:en license:apache-2.0 human-feedback instruct reward-modeling region:us
{"language": ["en"], "license": "apache-2.0", "task_categories": ["conversational", "text-generation"], "pretty_name": "Instruct Me", "dataset_info": [{"config_name": "instruction_tuning", "features": [{"name": "text", "dtype": "string"}, {"name": "meta", "struct": [{"name": "source", "dtype": "string"}, {"name": "config", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 29975565, "num_examples": 41685}, {"name": "test", "num_bytes": 3298059, "num_examples": 4632}], "download_size": 18425612, "dataset_size": 33273624}, {"config_name": "reward_modelling", "features": [{"name": "text", "dtype": "string"}, {"name": "meta", "struct": [{"name": "source", "dtype": "string"}, {"name": "config", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 25274204, "num_examples": 41685}, {"name": "test", "num_bytes": 2777314, "num_examples": 4632}], "download_size": 15636566, "dataset_size": 28051518}, {"config_name": "ppo", "features": [{"name": "prompt", "dtype": "string"}, {"name": "meta", "struct": [{"name": "source", "dtype": "string"}, {"name": "config", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 50787070, "num_examples": 83371}, {"name": "test", "num_bytes": 5715727, "num_examples": 9264}], "download_size": 31461165, "dataset_size": 56502797}, {"config_name": "reward_modeling", "features": [{"name": "prompt", "dtype": "string"}, {"name": "meta", "struct": [{"name": "source", "dtype": "string"}, {"name": "config", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 25274204, "num_examples": 41685}, {"name": "test", "num_bytes": 2777314, "num_examples": 4632}], "download_size": 15636838, "dataset_size": 28051518}], "tags": ["human-feedback", "instruct", "reward-modeling"]}
TAGS
#task_categories-conversational #task_categories-text-generation #language-English #license-apache-2.0 #human-feedback #instruct #reward-modeling #region-us 


# Dataset card for Instruct Me

## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: Lewis Tunstall

### Dataset summary

Instruct Me is a dataset of prompts and instruction dialogues between a human user and AI assistant. The prompts are derived from (prompt, completion) pairs in the Helpful Instructions dataset. The goal is to train a language model to that is "chatty" and can answer the kind of questions or tasks a human user might instruct an AI assistant to perform.

### Supported Tasks and Leaderboard

We provide 3 configs that can be used for training RLHF models:

#### instruction_tuning

Single-turn user/bot dialogues for instruction tuning.

#### reward_modeling

Prompts to generate model completions and collect human preference data

#### ppo

Prompts to generate model completions for optimization of the instruction-tuned model with techniques like PPO.

### Changelog

* March 6, 2023: 'v1.1.0' release. Changed the 'text' columns for the 'reward_modeling' and 'ppo' configs to 'prompt' for consistency with our dataset schemas elsewhere.
* March 5, 2023: 'v1.0.0' release.
# Dataset card for Instruct Me ## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: Lewis Tunstall ### Dataset summary

Instruct Me is a dataset of prompts and instruction dialogues between a human user and AI assistant. The prompts are derived from (prompt, completion) pairs in the Helpful Instructions dataset. The goal is to train a language model to that is "chatty" and can answer the kind of questions or tasks a human user might instruct an AI assistant to perform. ### Supported Tasks and Leaderboard

We provide 3 configs that can be used for training RLHF models: #### instruction_tuning

Single-turn user/bot dialogues for instruction tuning. #### reward_modeling

Prompts to generate model completions and collect human preference data #### ppo

Prompts to generate model completions for optimization of the instruction-tuned model with techniques like PPO. ### Changelog

* March 6, 2023: 'v1.1.0' release. Changed the 'text' columns for the 'reward_modeling' and 'ppo' configs to 'prompt' for consistency with our dataset schemas elsewhere.
* March 5, 2023: 'v1.0.0' release.
TAGS
#task_categories-conversational #task_categories-text-generation #language-English #license-apache-2.0 #human-feedback #instruct #reward-modeling #region-us 
 # Dataset card for Instruct Me ## Dataset Description

- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: Lewis Tunstall ### Dataset summary

Instruct Me is a dataset of prompts and instruction dialogues between a human user and AI assistant. The prompts are derived from (prompt, completion) pairs in the Helpful Instructions dataset. The goal is to train a language model to that is "chatty" and can answer the kind of questions or tasks a human user might instruct an AI assistant to perform. ### Supported Tasks and Leaderboard

We provide 3 configs that can be used for training RLHF models: #### instruction_tuning

Single-turn user/bot dialogues for instruction tuning. #### reward_modeling

Prompts to generate model completions and collect human preference data #### ppo

Prompts to generate model completions for optimization of the instruction-tuned model with techniques like PPO. ### Changelog

* March 6, 2023: 'v1.1.0' release. Changed the 'text' columns for the 'reward_modeling' and 'ppo' configs to 'prompt' for consistency with our dataset schemas elsewhere.
* March 5, 2023: 'v1.0.0' release.