README.md

metadata

language: en
widget:
  - text: >-
      The scale, variety, and quantity of publicly-available NLP datasets has
      grown rapidly as researchers propose new tasks, larger models, and novel
      benchmarks. Datasets is a community library for contemporary NLP designed
      to support this ecosystem. Datasets aims to standardize end-user
      interfaces, versioning, and documentation, while providing a lightweight
      front-end that behaves similarly for small datasets as for internet-scale
      corpora. The design of the library incorporates a distributed,
      community-driven approach to adding datasets and documenting usage. After
      a year of development, the library now includes more than 650 unique
      datasets, has more than 250 contributors, and has helped support a variety
      of novel cross-dataset research projects and shared tasks. The library is
      available at https://github.com/huggingface/datasets.
datasets:
  - algmon_vertical_domian_0
model-index:
  - name: weijiang2009/AlgmonQuestingAnsweringModel-finetune
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: squad_v2
          type: squad_v2
          config: squad_v2
          split: validation
        metrics:
          - type: exact_match
            value: 79.9309
            name: Exact Match
            verified: true
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          - type: f1
            value: 82.9501
            name: F1
            verified: true
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          - type: total
            value: 11869
            name: total
            verified: true
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Algmon domain specific finetune for questioning & answering service

• Algmon domain specific
• base + finetune