Disagreement based metrics for the processing and evaluation of crowdsourced annotations
Project description
CrowdTruth is an approach to machine-human computing for collecting annotation data on text, images and videos. The approach is focussed specifically on collecting annotation data by capturing and interpreting inter-annotator disagreement.
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
crowdtruth-fork-2.1.1.tar.gz
(20.0 kB
view details)
Built Distribution
File details
Details for the file crowdtruth-fork-2.1.1.tar.gz
.
File metadata
- Download URL: crowdtruth-fork-2.1.1.tar.gz
- Upload date:
- Size: 20.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.1 pkginfo/1.7.0 requests/2.25.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bb1f7c4d2d78aedd270d0c60ff3e2cb6d878afcd80bae0ab13edbd460928bb38 |
|
MD5 | 28fe7a04e4180dcd04c27246f8da098b |
|
BLAKE2b-256 | a511450893e8971ab84135ba0b9da458d27d511a33f485ff8edc1e4ced6e3f3d |
File details
Details for the file crowdtruth_fork-2.1.1-py3-none-any.whl
.
File metadata
- Download URL: crowdtruth_fork-2.1.1-py3-none-any.whl
- Upload date:
- Size: 19.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.1 pkginfo/1.7.0 requests/2.25.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a55f2e2f7e46d1471c5152eb37f1012ad90ef16ab36c49e9132a867993b33851 |
|
MD5 | e552dcb10ed1525523a47254a6d50988 |
|
BLAKE2b-256 | b39b659537eae9f1e728e51159e11c7c81a8167b29aba4be3bfa2211d195a08a |