|
--- |
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configs: |
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- config_name: single_256 |
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data_files: |
|
- path: single_256/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: single_512 |
|
data_files: |
|
- path: single_512/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: single_1024 |
|
data_files: |
|
- path: single_1024/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: single_2048 |
|
data_files: |
|
- path: single_2048/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: single_4096 |
|
data_files: |
|
- path: single_4096/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: multiple_256 |
|
data_files: |
|
- path: multiple_256/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: multiple_512 |
|
data_files: |
|
- path: multiple_512/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: multiple_1024 |
|
data_files: |
|
- path: multiple_1024/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: multiple_2048 |
|
data_files: |
|
- path: multiple_2048/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: multiple_4096 |
|
data_files: |
|
- path: multiple_4096/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: delete_256 |
|
data_files: |
|
- path: delete_256/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: delete_512 |
|
data_files: |
|
- path: delete_512/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: delete_1024 |
|
data_files: |
|
- path: delete_1024/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: delete_2048 |
|
data_files: |
|
- path: delete_2048/data-00000-of-00001.arrow |
|
split: train |
|
- config_name: delete_4096 |
|
data_files: |
|
- path: delete_4096/data-00000-of-00001.arrow |
|
split: train |
|
--- |
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## Dataset Organization |
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The DEG dataset is organized by subsets (single, multiple, delete) and context length. Each subset has multiple subsets corresponding to different context lengths. |
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## Instructions to Download |
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You can load a dataset using HF's API, with an example below. |
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```python |
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from datasets import load_dataset |
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deg_data = load_dataset("wanglab/deg", 'single_256') |
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# Access the train data for a specific context length |
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train_data = deg_data['train'] |
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|
