PyTorch implementation of the highlights faithfulness and coverage metrics for the Fusion-in-Context task
Project description
Evaluation Framework for the Multi-Review Fusion-in-Context Task
After installing the package, please also install the required spaCy model:
python -m spacy download en_core_web_sm
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
fic_evaluation-0.1.0.tar.gz
(8.2 kB
view hashes)
Built Distribution
Close
Hashes for fic_evaluation-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3a8895a3b4d2a58bf64d8dcce3a476485790b17f4e6e8915f80578dadca72b50 |
|
MD5 | 82b684f60fefe1b23c27797e89f6ef47 |
|
BLAKE2b-256 | 15c2cc9cfe9020facec081fdb1ab5710c384539a3a3582aeffdd08d076e19972 |