Chit Chat Challenge dataset.
Project description
chitchat-dataset
Open-domain conversational dataset from the BYU Perception, Control & Cognition lab's Chit-Chat Challenge.
install
pip3 install chitchat_dataset
or simply download it:
curl -L git.io/ccc-dataset -o dataset.json
usage
import chitchat_dataset as ccc
dataset = ccc.Dataset()
# Dataset is a subclass of dict()
for convo_id, convo in dataset.items():
print(convo_id, convo)
See examples/
for other languages.
stats
- 7,168 conversations
- 258,145 utterances
- 1,315 unique participants
format
The dataset is a mapping from conversation UUID to a conversation:
{
"prompt": "What's the most interesting thing you've learned recently?",
"ratings": { "witty": "1", "int": 5, "upbeat": 5 },
"start": "2018-04-20T01:57:41",
"messages": [
[
{
"text": "Hello",
"timestamp": "2018-04-19T19:57:51",
"sender": "22578ac2-6317-44d5-8052-0a59076e0b96"
}
],
[
{
"text": "I learned that the Queen of England's last corgi died",
"timestamp": "2018-04-19T19:58:14",
"sender": "bebad07e-15df-48c3-a04f-67db828503e3"
}
],
[
{
"text": "Wow that sounds so sad",
"timestamp": "2018-04-19T19:58:18",
"sender": "22578ac2-6317-44d5-8052-0a59076e0b96"
},
{
"text": "was it a cardigan welsh corgi",
"timestamp": "2018-04-19T19:58:22",
"sender": "22578ac2-6317-44d5-8052-0a59076e0b96"
},
{
"text": "?",
"timestamp": "2018-04-19T19:58:24",
"sender": "22578ac2-6317-44d5-8052-0a59076e0b96"
}
]
]
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
chitchat_dataset-0.2.0.tar.gz
(7.9 MB
view hashes)
Built Distribution
Close
Hashes for chitchat_dataset-0.2.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 469e2e705c017a0cf17123073be1923a70e366201e8fb65c2dde31a3a1f0f93a |
|
MD5 | cec093b0b53d5b99fb20f7571acafeb8 |
|
BLAKE2b-256 | fbdede87d20d7aa078f602427a49db5d7638bcdfd536191c38cb31d77dde7e4a |