task_categories:conversational language:en license:apache-2.0 chatgpt openai gpt35-alpha region:us
---
license: apache-2.0
task_categories:
- conversational
language:
- en
tags:
- chatgpt
- openai
- gpt35-alpha
---
# Dataset Card for Dataset Name

## Dataset Description

Old ChatGPT scrapes, the RAW version.

### Dataset Summary

This is a result of a colab in a virtual shed. Really old stuff, before Plus even. Everything was generated by the model itself.

I think this is from what we call "alpha" now? Might even be before alpha idfk.

### Supported Tasks and Leaderboards

See dataset for more info.

### Languages

English only iirc, might be some translations thrown in there.

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

Not much data was actually curated, it is recommended to go over the data yourself and fix some answers.

### Source Data

#### Initial Data Collection and Normalization

First, user queries were generated, then Assistant's answers.

#### Who are the source language producers?

OpenAI?

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

None. Z E R O.

### Discussion of Biases

Has some biases towards talking about OpenAI stuff and some weird-ish stuff. "NDA" stuff is missing.

### Other Known Limitations

Some of the quries contain answers, hence models trained on data as is will be fucked up. Raw data contains "today's date" and other stuff I didn't include in my Neo(X) finetune.

## Additional Information

### Dataset Curators

MrSteyk and old ChatGPT. RIP in pepperoni, you will be missed.

### Licensing Information

[More Information Needed]

### Citation Information

Don't

### Contributions

They know themselves, apart from OAI.