Skip to main content

Text Generation Evaluation Toolkit

Project description

TiGEr-Eval: Text Generation Evaluation Toolkit

Overview

TiGEr toolkit for text generation evaluation.

Installation (from Pypi, recommended)

pip install tiger-eval

Installation (from source, unstable version)

pip install .

Done

  • Cross-lingual Consistency

  • Multichoice question evaluation

  • Open generation evaluation (with llama-2-7b-chat only)

  • BLEU score

TODO

The toolkit should support various metrics

  1. ROUGE, BLEU

  2. Model based: BERTScore, BLEURT

  3. Open Generation, need to be further improved

  4. For multichoice questions. Other matching techniques? E.g. use model to reformat the answer?

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tiger_eval-0.0.2.tar.gz (18.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tiger_eval-0.0.2-py3-none-any.whl (17.1 kB view details)

Uploaded Python 3

File details

Details for the file tiger_eval-0.0.2.tar.gz.

File metadata

  • Download URL: tiger_eval-0.0.2.tar.gz
  • Upload date:
  • Size: 18.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for tiger_eval-0.0.2.tar.gz
Algorithm Hash digest
SHA256 32d1b6d0b73f705a5941af5aca4a2d155e32368816460bbba28019af2f6c89d7
MD5 dc10946d1181f79b24256cb87208cd7a
BLAKE2b-256 2ac9a501efc3be6cf3feb96306b4590f88b5144d43076b5f48f7f9d2fdf666e4

See more details on using hashes here.

File details

Details for the file tiger_eval-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: tiger_eval-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 17.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for tiger_eval-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 69b09fd352f3e5c44032fc966912675956ea14df954c27cdd84c39064362a6d8
MD5 09339da1bc8bb9e3357e28a4c1b4db03
BLAKE2b-256 0b5bbf9ef598d39c8f2d2500bd3f029dc629701fbb4f7098139bed414fd7ee16

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page