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Hi,
I am trying to obtain the semantic similarity between the generated and the ground truth sentence.
I used all these metrics to evaluate the generated sentences (validation dataset):
BLEU 1…
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* See #12 for file format of the input
* Compute Spearman’s rank correlation coefficient between this scoreand the human judgments
* Consider variations to use Euclidean distance and other metri…
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At @related-sciences, we created a Python library called [nxontology](https://github.com/related-sciences/nxontology) for computing intrinsic semantic similarity between pairs of nodes in an ontology.…
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hey man,
This is my first contact with sentence embedding. I have some doubts.
The multilingualism here refers to the semantic similarity between Chinese sentences and Chinese sentences, and the sim…
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Set up `cache_activations`' `measure_refusals` argument to be able to find a distribution of tokens between the positive and negative and find the tokens that are most likely to appear where.
I thi…
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**Description of the bug**
Using Google Colab. After running `!pip install ragas`, unable to import RagasEvaluatorChain from ragas.langchain.evalchain.
It was okay last week (v0.0.22).
Ragas ver…
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### First Check
- [X] I added a very descriptive title to this issue.
- [X] I used the GitHub search to find a similar issue and didn't find it.
- [X] I searched the SQLModel documentation, with …
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**Is your feature request related to a problem? Please describe.**
Search usecases can broadly be classified into two buckets:
1. Lexical/Keyword based search - traditional IR systems, more or les…
nihit updated
7 months ago
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## Adding a Dataset
- **Name:** MedSTS
- **Description:** 1,068 sentence pairs annotated by two medical experts with semantic similarity scores of 0-5 (low to high similarity).
- **Task:** STS
- *…
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- semantic similarity in learnweights
- tree access is not speed optimized