Datasets:
id string | conversations list |
|---|---|
Og9h3C1 | [
"{\"from\":\"human\",\"value\":\"root@openvpn:\\/home\\/openvpn# .\\/openvpn-install.sh\\nWelcome to OpenVPN-install!\\nThe git repository is available at: https:\\/\\/github.com\\/angristan\\/openvpn-install\\n\\nIt looks like OpenVPN is already installed.\\n\\nWhat do you want to do?\\n 1) Add a new user\\n 2... |
zi8VbDz | [
"{\"from\":\"human\",\"value\":\"\\u63d0\\u4f9b\\u4e00\\u500b\\u5a92\\u9ad4\\u62db\\u5f85\\u6703\\u7684\\u6d41\\u7a0b\\u8868\\uff0c\\u5167\\u5bb9\\u662f\\u57f7\\u884c\\u5b8c\\u300c\\u4f86\\u5f70\\u5316\\u8dd1\\u6b65\\u300d\\u9019\\u500b\\u6d3b\\u52d5\\u7d50\\u675f\\u5f8c\\uff0c\\u900f\\u904e\\u5a92\\u9ad4\\u62db\\u... |
i6IyJda | [
"{\"from\":\"human\",\"value\":\"How to tell if a customer segment is well segmented? In 3 bullet points.\"}",
"{\"from\":\"gpt\",\"value\":\"<div class=\\\"markdown prose w-full break-words dark:prose-invert light\\\"><ol><li><p>Homogeneity: The segment should consist of customers who share similar characteristi... |
A5AbcES | [
"{\"from\":\"human\",\"value\":\"In Java, I want to replace string like \\\"This is a new {object} at {place}\\\" with a Map, {object: \\\"student\\\", \\\"point 3, 4\\\"}, and get a result \\\"This is a new student at point 3, 4\\\". How can I do?\"}",
"{\"from\":\"gpt\",\"value\":\"<div class=\\\"markdown prose... |
KXxu9my | [
"{\"from\":\"human\",\"value\":\"The following is the job of the hosting service team. Assign the roles and responsibilities of the person responsible for doing the job well. Tabulate R&R.\\n\\n1. Service improvement: Identification and resolution of customer complaints and feedback to improve the quality and stabi... |
HskFS9I | [
"{\"from\":\"human\",\"value\":\"1 \\/ 1como crear un rol para kuberntes y dar solo permisos para creaccion de ingress y deployment\"}",
"{\"from\":\"gpt\",\"value\":\"<div><p>Para crear un rol en Kubernetes y otorgar permisos espec\\u00edficos para crear objetos de tipo \\\"Ingress\\\" y \\\"Deployment\\\", pued... |
P6jjDWE | ["{\"from\":\"human\",\"value\":\"\\u5fae\\u5206\\u65b9\\u7a0b\\u5f0f\\u306e\\u4f8b\\u3068\\u305d\\u(...TRUNCATED) |
yn2eWCt | ["{\"from\":\"human\",\"value\":\"how do I add multiple new columns in m for power query or power bi(...TRUNCATED) |
VY7cMKG | ["{\"from\":\"human\",\"value\":\"Poly Ether Ether Ketone\"}","{\"from\":\"gpt\",\"value\":\"<div cl(...TRUNCATED) |
uCXN7ij | ["{\"from\":\"human\",\"value\":\"Schreibe eine rustdoc Dokumentation inklusive eines Beispiels f\\u(...TRUNCATED) |
Dataset Card for ShareGPT52K90K
Dataset Summary
This dataset is a collection of approximately 52,00090,000 conversations scraped via the ShareGPT API before it was shut down.
These conversations include both user prompts and responses from OpenAI's ChatGPT.
This repository now contains the new 90K conversations version. The previous 52K may
be found in the old/ directory.
Supported Tasks and Leaderboards
- text-generation
Languages
This dataset is expected to primarily consist of messages in English and other Western languages.
Dataset Structure
Data Instances
{
"id": "2wtLdZm",
"conversations": [
{
"from": "human",
"value": "Are you familiar with the SAS programming language?"
},
{
"from": "gpt",
"value": "<div class=\"markdown prose w-full break-words dark:prose-invert light\"><p>Yes, I am familiar with the SAS programming language. SAS is a statistical software suite that is widely used in data analysis, data management, and business intelligence applications. It has its own programming language, which is used to manipulate and analyze data, generate reports, and automate data-driven workflows. The language is known for its ease of use and powerful capabilities, and it is commonly used in industries such as healthcare, finance, and government.</p></div>"
},
{
"from": "human",
"value": "Can you write a SAS proc that imports a dataset from a CSV saved on my local machine?"
}
]
}
Data Fields
- id: conversation id
- conversations: conversation session array
- from: ChatGPT ("gpt") or the user ("human")
- value: message contents as raw HTML
Data Splits
N/A
Dataset Creation
Curation Rationale
This is a decently large dataset of realistic human-AI conversations which I believe should be released to the research community.
Source Data
Initial Data Collection and Normalization
This data was collected using the ShareGPT API.
Who are the source language producers?
ShareGPT users and OpenAI ChatGPT.
Annotations
Annotation process
N/A
Who are the annotators?
N/A
Personal and Sensitive Information
This dataset may contain personal information, if ShareGPT users were sending such information to ChatGPT. ChatGPT warns users not to submit personal information to it, however, so without further evaluation, we believe that this dataset should contain little or no personal information.
Considerations for Using the Data
Social Impact of Dataset
This dataset may be used to train models that are competitive with OpenAI's ChatGPT. Please filter this dataset first, as it may contain canned responses, raw HTML, and other undesirable information.
Discussion of Biases
This dataset exhibits all the biases of OpenAI's ChatGPT models (GPT-3.5 and GPT-4) as well as the biases of the users who uploaded the conversations.
Other Known Limitations
N/A
Additional Information
Dataset Curators
None.
Licensing Information
CC0: No Rights Reserved.
The output of machine learning algorithms is uncopyrightable in the United States and other jurisdictions. Additionally, the OpenAI terms of service do not apply to this dataset as users of this dataset are not accessing the OpenAI service.
Citation Information
TODO
Contributions
These conversations were allegedly scraped by an anonymous user on 4chan.
The 90K version was sourced from this post. Thanks, anon!
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