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README.md
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@@ -14,8 +14,6 @@ task_categories:
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configs: # Optional. This can be used to pass additional parameters to the dataset loader, such as `data_files`, `data_dir`, and any builder-specific parameters
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- config_name: default # Name of the dataset subset, if applicable. Example: default
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data_files:
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- split: corpus # Example: train
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path: GDNCC_data.jsonl # Example: data.csv
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- split: train # Example: train
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path: GDNCC_data_train.jsonl # Example: data.csv
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- split: test # Example: test
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@@ -24,14 +22,14 @@ configs: # Optional. This can be used to pass additional parameters to the data
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path: GDNCC_data_valid.jsonl # Example: holdout.csv
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- config_name: AU_detection # Name of the dataset subset. Example: processed
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data_files:
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- split: corpus # Example: train
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path: GDNCC_AU_detection.jsonl # Example: data.csv
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- split: train # Example: train
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path: GDNCC_AU_detection_train.jsonl # Example: data.csv
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- split: test # Example: test
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path: GDNCC_AU_detection_test.jsonl # Example: holdout.csv
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- split: eval # Example: test
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path: GDNCC_AU_detection_valid.jsonl # Example: holdout.csv
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---
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# Dataset Card for Dataset Name
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configs: # Optional. This can be used to pass additional parameters to the dataset loader, such as `data_files`, `data_dir`, and any builder-specific parameters
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- config_name: default # Name of the dataset subset, if applicable. Example: default
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data_files:
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- split: train # Example: train
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path: GDNCC_data_train.jsonl # Example: data.csv
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- split: test # Example: test
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path: GDNCC_data_valid.jsonl # Example: holdout.csv
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- config_name: AU_detection # Name of the dataset subset. Example: processed
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data_files:
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- split: train # Example: train
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path: GDNCC_AU_detection_train.jsonl # Example: data.csv
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- split: test # Example: test
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path: GDNCC_AU_detection_test.jsonl # Example: holdout.csv
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- split: eval # Example: test
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path: GDNCC_AU_detection_valid.jsonl # Example: holdout.csv
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- split: corpus # Example: train
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path: GDNCC_AU_detection.jsonl # Example: data.csv
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---
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# Dataset Card for Dataset Name
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