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feat: Spellcheck benchmark dataset and evaluation algorithm #340
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raphael0202
reviewed
Apr 12, 2024
raphael0202
reviewed
Apr 12, 2024
raphael0202
reviewed
Apr 12, 2024
raphael0202
reviewed
Apr 12, 2024
raphael0202
reviewed
Apr 12, 2024
…ents lists (fix path error)
… Recall metric added
- Evaluation is performed on the Sagemaker instance - Evaluation data are sent to S3 - Metaflow human evaluation step get and push to Argilla
Bug when preparing Argilla dataset
…ementation into code
raphael0202
approved these changes
Jun 18, 2024
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What
Creation of the benchmark and evaluation algorithm to evaluate the spellcheck
Benchmark
The benchmark is composed of 247 lists of ingredients from 3 data sources:
Argilla to validate benchmark
Lists of ingredients corrected with GPT-3.5 are checked and modified to respect the spellcheck guidelines.
Evaluation algorithm
An evaluation algorithm is created to estimate the performance of the Spellcheck.
It calculates the Precision-Recall of the correction based on text sequences (Original-Reference-Prediction) by using tokenization and alignment algorithm.