|
--- |
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language: |
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- en |
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license: cc-by-nc-sa-4.0 |
|
size_categories: |
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- 10K<n<100K |
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task_categories: |
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- summarization |
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- text-generation |
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- text2text-generation |
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dataset_info: |
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features: |
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- name: dialogue |
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dtype: string |
|
- name: summary |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 48177311.0 |
|
num_examples: 52480 |
|
download_size: 29232356 |
|
dataset_size: 48177311.0 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
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path: data/train-* |
|
--- |
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## DialogSumm |
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DialogSumm is a mixture of the following dialog datasets: |
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- [dialogsum](https://huggingface.co/datasets/knkarthick/dialogsum) |
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- [samsum](https://huggingface.co/datasets/samsum) |
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- [MocktaiLEngineer/qmsum-processed](https://huggingface.co/datasets/MocktaiLEngineer/qmsum-processed) |
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- [npc-engine/light-batch-summarize-dialogue](https://huggingface.co/datasets/npc-engine/light-batch-summarize-dialogue) |
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|
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## 💻 Usage |
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``` |
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from datasets import load_dataset |
|
|
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dataset = load_dataset("Isotonic/DialogSumm") |
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|
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``` |
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🚀🚀 Next: DialogSumm + [cnn_dailymail](https://huggingface.co/datasets/cnn_dailymail) + [mediasum](https://huggingface.co/datasets/ccdv/mediasum) + [EdinburghNLP/xsum](https://huggingface.co/datasets/EdinburghNLP/xsum) |
