[Original dataset page from ehartford.](https://huggingface.co/datasets/ehartford/open-instruct-uncensored)

810,102 entries. Sourced from `open-instruct-uncensored.jsonl`.

Converted the jsonl to a json which can be loaded into something like LLaMa-LoRA-Tuner.

I've also included smaller datasets that includes less entries depending on how much memory you have to work with.

Each one is randomized before being converted, so each dataset is unique in order.

```
Count of each Dataset:
code_alpaca: 19991
unnatural_instructions: 68231
baize: 166096
self_instruct: 81512
oasst1: 49433
flan_v2: 97519
stanford_alpaca: 50098
sharegpt: 46733
super_ni: 96157
dolly: 14624
cot: 73946
gpt4_alpaca: 45774
```
size_categories:100K<n<1M language:en allenai open-instruct ehartford alpaca region:us
{"language": ["en"], "size_categories": ["100K<n<1M"], "tags": ["allenai", "open-instruct", "ehartford", "alpaca"]}
TAGS
#size_categories-100K<n<1M #language-English #allenai #open-instruct #ehartford #alpaca #region-us 

Original dataset page from ehartford.

810,102 entries. Sourced from 'URL'.

Converted the jsonl to a json which can be loaded into something like LLaMa-LoRA-Tuner.

I've also included smaller datasets that includes less entries depending on how much memory you have to work with.

Each one is randomized before being converted, so each dataset is unique in order.


TAGS
#size_categories-100K<n<1M #language-English #allenai #open-instruct #ehartford #alpaca #region-us 

passage: TAGS
#size_categories-100K<n<1M #language-English #allenai #open-instruct #ehartford #alpaca #region-us 
