
# Dataset Card for [GPT4All-J Prompt Generations]


## Dataset Description

Dataset used to train [GPT4All-J](https://huggingface.co/nomic-ai/gpt4all-j) and [GPT4All-J-LoRA](https://huggingface.co/nomic-ai/gpt4all-j-lora)

We release several versions of datasets

- **v1.0:** The original dataset we used to finetune GPT-J on
- **v1.1-breezy**: A filtered dataset where we removed all instances of `AI language model`
- **v1.2-jazzy**: A filtered dataset where we also removed instances like `I'm sorry, I can't answer...` and `AI language model`
- **v1.3-groovy**: The v1.2 dataset with ShareGPT and Dolly added with ~8% of semantic duplicates removed from the dataset using [Atlas](https://atlas.nomic.ai/)

The dataset defaults to `main` which is `v1.0`. To download a specific version, you can pass an argument to the keyword `revision` in `load_dataset`:

```python
from datasets import load_dataset

jazzy = load_dataset("nomic-ai/gpt4all-j-prompt-generations", revision='v1.2-jazzy')
```

- **Homepage:** [gpt4all.io](https://gpt4all.io/)
- **Repository:** [gpt4all](https://github.com/nomic-ai/gpt4all)
- **Paper:** [Technical Report](https://static.nomic.ai/gpt4all/2023_GPT4All-J_Technical_Report_2.pdf)
- **Atlas Map:** [Map of Prompts](https://atlas.nomic.ai/map/gpt4all-j-prompts-curated) and [Responses](https://atlas.nomic.ai/map/gpt4all-j-response-curated)
size_categories:100K<n<1M language:en license:apache-2.0 region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "dataset_info": {"features": [{"name": "prompt", "dtype": "string"}, {"name": "response", "dtype": "string"}, {"name": "source", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 1774285641, "num_examples": 808812}], "download_size": 990673616, "dataset_size": 1774285641}}
TAGS
#size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us 


# Dataset Card for [GPT4All-J Prompt Generations]


## Dataset Description

Dataset used to train GPT4All-J and GPT4All-J-LoRA

We release several versions of datasets

- v1.0: The original dataset we used to finetune GPT-J on
- v1.1-breezy: A filtered dataset where we removed all instances of 'AI language model'
- v1.2-jazzy: A filtered dataset where we also removed instances like 'I'm sorry, I can't answer...' and 'AI language model'
- v1.3-groovy: The v1.2 dataset with ShareGPT and Dolly added with ~8% of semantic duplicates removed from the dataset using Atlas

The dataset defaults to 'main' which is 'v1.0'. To download a specific version, you can pass an argument to the keyword 'revision' in 'load_dataset':



- Homepage: URL
- Repository: gpt4all
- Paper: Technical Report
- Atlas Map: Map of Prompts and Responses
# Dataset Card for [GPT4All-J Prompt Generations] ## Dataset Description

Dataset used to train GPT4All-J and GPT4All-J-LoRA

We release several versions of datasets

- v1.0: The original dataset we used to finetune GPT-J on
- v1.1-breezy: A filtered dataset where we removed all instances of 'AI language model'
- v1.2-jazzy: A filtered dataset where we also removed instances like 'I'm sorry, I can't answer...' and 'AI language model'
- v1.3-groovy: The v1.2 dataset with ShareGPT and Dolly added with ~8% of semantic duplicates removed from the dataset using Atlas

The dataset defaults to 'main' which is 'v1.0'. To download a specific version, you can pass an argument to the keyword 'revision' in 'load_dataset':



- Homepage: URL
- Repository: gpt4all
- Paper: Technical Report
- Atlas Map: Map of Prompts and Responses
TAGS
#size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us 
 # Dataset Card for [GPT4All-J Prompt Generations] ## Dataset Description

Dataset used to train GPT4All-J and GPT4All-J-LoRA

We release several versions of datasets

- v1.0: The original dataset we used to finetune GPT-J on
- v1.1-breezy: A filtered dataset where we removed all instances of 'AI language model'
- v1.2-jazzy: A filtered dataset where we also removed instances like 'I'm sorry, I can't answer...' and 'AI language model'
- v1.3-groovy: The v1.2 dataset with ShareGPT and Dolly added with ~8% of semantic duplicates removed from the dataset using Atlas

The dataset defaults to 'main' which is 'v1.0'. To download a specific version, you can pass an argument to the keyword 'revision' in 'load_dataset':



- Homepage: URL
- Repository: gpt4all
- Paper: Technical Report
- Atlas Map: Map of Prompts and Responses
passage: TAGS
#size_categories-100K<n<1M #language-English #license-apache-2.0 #region-us 
# Dataset Card for [GPT4All-J Prompt Generations]## Dataset Description

Dataset used to train GPT4All-J and GPT4All-J-LoRA

We release several versions of datasets

- v1.0: The original dataset we used to finetune GPT-J on
- v1.1-breezy: A filtered dataset where we removed all instances of 'AI language model'
- v1.2-jazzy: A filtered dataset where we also removed instances like 'I'm sorry, I can't answer...' and 'AI language model'
- v1.3-groovy: The v1.2 dataset with ShareGPT and Dolly added with ~8% of semantic duplicates removed from the dataset using Atlas

The dataset defaults to 'main' which is 'v1.0'. To download a specific version, you can pass an argument to the keyword 'revision' in 'load_dataset':



- Homepage: URL
- Repository: gpt4all
- Paper: Technical Report
- Atlas Map: Map of Prompts and Responses