2 datasets found
  1. h

    rag_instruct_test_dataset_0.1

    • huggingface.co
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    llmware, rag_instruct_test_dataset_0.1 [Dataset]. https://huggingface.co/datasets/llmware/rag_instruct_test_dataset_0.1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset authored and provided by
    llmware
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset Card for RAG-Instruct-Test-Dataset

      Dataset Summary
    

    This is a test dataset for basic "retrieval augmented generation" (RAG) use cases in the enterprise, especially for finance and legal. This test dataset includes 100 samples with context passages pulled from common 'retrieval scenarios', e.g., financial news, earnings releases, contracts, invoices, technical articles, general news and short texts. The primary use case is to evaluate the effectiveness of an… See the full description on the dataset page: https://huggingface.co/datasets/llmware/rag_instruct_test_dataset_0.1.

  2. h

    rag_instruct_benchmark_tester

    • huggingface.co
    • opendatalab.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    llmware, rag_instruct_benchmark_tester [Dataset]. https://huggingface.co/datasets/llmware/rag_instruct_benchmark_tester
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset authored and provided by
    llmware
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset Card for RAG-Instruct-Benchmark-Tester

      Dataset Summary
    

    This is an updated benchmarking test dataset for "retrieval augmented generation" (RAG) use cases in the enterprise, especially for financial services, and legal. This test dataset includes 200 questions with context passages pulled from common 'retrieval scenarios', e.g., financial news, earnings releases, contracts, invoices, technical articles, general news and short texts.
    The questions are segmented… See the full description on the dataset page: https://huggingface.co/datasets/llmware/rag_instruct_benchmark_tester.

  3. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
llmware, rag_instruct_test_dataset_0.1 [Dataset]. https://huggingface.co/datasets/llmware/rag_instruct_test_dataset_0.1

rag_instruct_test_dataset_0.1

llmware/rag_instruct_test_dataset_0.1

RAG Instruct Test Dataset - Basic - v0.1

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset authored and provided by
llmware
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Description

Dataset Card for RAG-Instruct-Test-Dataset

  Dataset Summary

This is a test dataset for basic "retrieval augmented generation" (RAG) use cases in the enterprise, especially for finance and legal. This test dataset includes 100 samples with context passages pulled from common 'retrieval scenarios', e.g., financial news, earnings releases, contracts, invoices, technical articles, general news and short texts. The primary use case is to evaluate the effectiveness of an… See the full description on the dataset page: https://huggingface.co/datasets/llmware/rag_instruct_test_dataset_0.1.

Search
Clear search
Close search
Google apps
Main menu