Term Discovery Evaluation
Toolbox to evaluate Term Discovery systems.
- Complete Documentation and metrics description ar available at https://docs.cognitive-ml.fr/tde/
This toolbox transcribed phonetical each discovered interval, then applies NLP evaluation to judge the quality of the discovery. The metrics are:
- NED : mean of the edit distance between all the discovered pairs
- coverage: percentage of the corpus covered
- token/type: measure how good the system was at finding gold tokens and gold types
- boundary: measure how good the system was at finding gold boundaries
- grouping: judge the purity of the clusters formed by the system
Metadata
Release files for zerospeech-tde 2.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| zerospeech-tde-2.0.3.tar.gz | 29.9 MB | Without provenance | Details for zerospeech-tde-2.0.3.tar.gz |
Release files / zerospeech-tde-2.0.3.tar.gz
| Download URL | zerospeech-tde-2.0.3.tar.gz |
|---|---|
| Size | 29.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
83ee52d7b861ccd993590a7de56b2348e7781382b48087a883fd4055d91abdad
|
|
BLAKE2b-256 checksum How to use checksums |
9de8abcb1faa224df8aac43eab46833cb97b8eae45138c80cc43d914d6f64c5e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Security for zerospeech-tde 2.0.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.