five

open-source-metrics/datasets-dependents

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Hugging Face2024-05-27 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/open-source-metrics/datasets-dependents
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资源简介:
--- license: apache-2.0 pretty_name: datasets metrics tags: - github-stars dataset_info: features: - name: name dtype: string - name: stars dtype: int64 - name: forks dtype: int64 splits: - name: package num_bytes: 15485 num_examples: 376 - name: repository num_bytes: 503612 num_examples: 10931 download_size: 310753 dataset_size: 519097 --- # datasets metrics This dataset contains metrics about the huggingface/datasets package. Number of repositories in the dataset: 4997 Number of packages in the dataset: 215 ## Package dependents This contains the data available in the [used-by](https://github.com/huggingface/datasets/network/dependents) tab on GitHub. ### Package & Repository star count This section shows the package and repository star count, individually. Package | Repository :-------------------------:|:-------------------------: ![datasets-dependent package star count](./datasets-dependents/resolve/main/datasets-dependent_package_star_count.png) | ![datasets-dependent repository star count](./datasets-dependents/resolve/main/datasets-dependent_repository_star_count.png) There are 22 packages that have more than 1000 stars. There are 43 repositories that have more than 1000 stars. The top 10 in each category are the following: *Package* [huggingface/transformers](https://github.com/huggingface/transformers): 70480 [fastai/fastbook](https://github.com/fastai/fastbook): 16052 [jina-ai/jina](https://github.com/jina-ai/jina): 16052 [borisdayma/dalle-mini](https://github.com/borisdayma/dalle-mini): 12873 [allenai/allennlp](https://github.com/allenai/allennlp): 11198 [facebookresearch/ParlAI](https://github.com/facebookresearch/ParlAI): 9440 [huggingface/tokenizers](https://github.com/huggingface/tokenizers): 5867 [huggingface/diffusers](https://github.com/huggingface/diffusers): 5457 [PaddlePaddle/PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP): 5422 [HIT-SCIR/ltp](https://github.com/HIT-SCIR/ltp): 4058 *Repository* [huggingface/transformers](https://github.com/huggingface/transformers): 70481 [google-research/google-research](https://github.com/google-research/google-research): 25092 [ray-project/ray](https://github.com/ray-project/ray): 22047 [allenai/allennlp](https://github.com/allenai/allennlp): 11198 [facebookresearch/ParlAI](https://github.com/facebookresearch/ParlAI): 9440 [gradio-app/gradio](https://github.com/gradio-app/gradio): 9169 [aws/amazon-sagemaker-examples](https://github.com/aws/amazon-sagemaker-examples): 7343 [microsoft/unilm](https://github.com/microsoft/unilm): 6650 [deeppavlov/DeepPavlov](https://github.com/deeppavlov/DeepPavlov): 5844 [huggingface/diffusers](https://github.com/huggingface/diffusers): 5457 ### Package & Repository fork count This section shows the package and repository fork count, individually. Package | Repository :-------------------------:|:-------------------------: ![datasets-dependent package forks count](./datasets-dependents/resolve/main/datasets-dependent_package_forks_count.png) | ![datasets-dependent repository forks count](./datasets-dependents/resolve/main/datasets-dependent_repository_forks_count.png) There are 17 packages that have more than 200 forks. There are 40 repositories that have more than 200 forks. The top 10 in each category are the following: *Package* [huggingface/transformers](https://github.com/huggingface/transformers): 16157 [fastai/fastbook](https://github.com/fastai/fastbook): 6033 [allenai/allennlp](https://github.com/allenai/allennlp): 2218 [jina-ai/jina](https://github.com/jina-ai/jina): 1967 [facebookresearch/ParlAI](https://github.com/facebookresearch/ParlAI): 1920 [PaddlePaddle/PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP): 1583 [HIT-SCIR/ltp](https://github.com/HIT-SCIR/ltp): 988 [borisdayma/dalle-mini](https://github.com/borisdayma/dalle-mini): 945 [ThilinaRajapakse/simpletransformers](https://github.com/ThilinaRajapakse/simpletransformers): 658 [huggingface/tokenizers](https://github.com/huggingface/tokenizers): 502 *Repository* [huggingface/transformers](https://github.com/huggingface/transformers): 16157 [google-research/google-research](https://github.com/google-research/google-research): 6139 [aws/amazon-sagemaker-examples](https://github.com/aws/amazon-sagemaker-examples): 5493 [ray-project/ray](https://github.com/ray-project/ray): 3876 [allenai/allennlp](https://github.com/allenai/allennlp): 2218 [facebookresearch/ParlAI](https://github.com/facebookresearch/ParlAI): 1920 [PaddlePaddle/PaddleNLP](https://github.com/PaddlePaddle/PaddleNLP): 1583 [x4nth055/pythoncode-tutorials](https://github.com/x4nth055/pythoncode-tutorials): 1435 [microsoft/unilm](https://github.com/microsoft/unilm): 1223 [deeppavlov/DeepPavlov](https://github.com/deeppavlov/DeepPavlov): 1055
提供机构:
open-source-metrics
原始信息汇总

数据集概述

数据集基本信息

  • 许可证: Apache-2.0
  • 数据集名称: datasets metrics
  • 标签: github-stars

数据集特征

  • 名称: string
  • 星数: int64
  • 分支数: int64

数据集分割

  • :
    • 字节数: 15485
    • 示例数: 376
  • 仓库:
    • 字节数: 503612
    • 示例数: 10931

数据集大小

  • 下载大小: 310753
  • 数据集大小: 519097

数据集内容

  • 包含的指标: huggingface/datasets 包的相关指标
  • 仓库数量: 4997
  • 包数量: 215

星数统计

  • 超过1000星的包数量: 22
  • 超过1000星的仓库数量: 43
  • 超过200分支的包数量: 17
  • 超过200分支的仓库数量: 40

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