code-align-evals-data

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code-align-evals-data reviews and mentions

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  • Replit's new Code LLM was trained in 1 week
    12 projects | news.ycombinator.com | 3 May 2023
    deduplication. We first split the files into words/tokens based on non-alphanumeric characters and remove files with fewer than 10 tokens. Next, we compute the MinHash with 256 permutations of all documents, and use Locality Sensitive Hashing to find clusters of duplicates. We further reduce these clusters by ensuring that each file in the original cluster is similar to at least one other file in the reduced cluster. We consider two files similar when their Jaccard similarity exceeds 0.85.

    Near-duplicates are still difficult to measure. So we should expect duplication, and it should be proportional to the number of samples we have (even if the same variance, but I'd wager higher variance with larger duplications).

    [0] https://github.com/openai/code-align-evals-data/tree/97446d9...

    [1] https://arxiv.org/abs/2211.15533

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2
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10.0
almost 3 years ago

openai/code-align-evals-data is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of code-align-evals-data is Python.

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