autotrain-data-processor commited on
Commit
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Processed data from AutoTrain data processor ([2022-12-22 19:20 ]

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README.md ADDED
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+ ---
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+ task_categories:
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+ - summarization
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+
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+ ---
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+ # AutoTrain Dataset for project: auto-arabic-summarization
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+
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+ ## Dataset Description
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+
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+ This dataset has been automatically processed by AutoTrain for project auto-arabic-summarization.
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+
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+ ### Languages
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+
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+ The BCP-47 code for the dataset's language is unk.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A sample from this dataset looks as follows:
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+
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+ ```json
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+ [
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+ {
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+ "text": "\u0627\u0643\u062f \u0648\u0632\u064a\u0631 \u0627\u0644\u0635\u0646\u0627\u0639\u0647 \u0648\u0627\u0644\u0637\u0627\u0642\u0647 \u0648\u0627\u0644\u0645\u0646\u0627\u062c\u0645 \u0632\u0643\u0631\u064a\u0627 \u062d\u0645\u062f \u0627\u0646\u0647 \u062a\u0645 \u0627\u0644\u064a\u0648\u0645 \u0627\u0644\u062e\u0645\u064a\u0633 \u062e\u0644\u0627\u0644 \u062c\u0644\u0633\u0647 \u0627\u0644\u062a\u0627\u0645\u062a \u0628\u0627\u0644\u0639\u0627\u0635\u0645\u0647 \u0648\u0632\u064a\u0631 \u0627\u0644\u0637\u0627\u0642\u0647 \u0627\u0644\u062c\u0632\u0627\u0626\u064a \u0635\u0627\u0644\u062d \u062e\u0628\u0631\u064a \u0628\u062e\u0635\u0648\u0635 \u0627\u0634\u063a\u0627\u0644 \u0627\u0644\u0644\u062c\u0646\u0647 \u0627\u0644\u062a\u0648\u0646\u0633\u064a\u0647 \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a\u0647 \u0645\u062c\u0627\u0644 \u0627\u0644\u0637\u0627\u0642\u0647 \u0644\u062a\u0642\u064a\u064a\u0645 \u0645\u062f\u0649 \u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u0645\u062a\u0641\u0642 \u0639\u0644\u064a\u0647\u0627 \u062e\u0628\u0631\u0627\u0621 \u0627\u0644\u0628\u0644\u062f\u064a\u0646 \u0627\u0644\u0627\u062a\u0641\u0627\u0642 \u062a\u0632\u0648\u064a\u062f \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0627\u0644\u062d\u062f\u0648\u062f\u064a\u0647 \u0627\u0644\u062a\u0648\u0646\u0633\u064a\u0647 \u0628\u0627\u0644\u0643\u0645\u064a\u0627\u062a \u0627\u0644\u0643\u0627\u0641\u064a\u0647 \u0642\u0648\u0627\u0631\u064a\u0631 \u0627\u0644\u063a\u0627\u0632 \u0627\u0644\u0645\u0646\u0632\u0644\u064a \u062a\u0642\u062f\u0631 \u0628\u062d\u0648\u0627\u0644\u064a \u0637\u0646 \u0627\u0644\u0642\u0648\u0627\u0631\u064a\u0631 \u0648\u0627\u0636\u0627\u0641 \u062d\u0645\u062f \u0627\u0646\u0647 \u0627\u0644\u0646\u0642\u0627\u0637 \u062a\u0645 \u0627\u0644\u0627\u062a\u0641\u0627\u0642 \u0628\u0634\u0627\u0646\u0647\u0627 \u062c\u0644\u0633\u0647 \u0627\u0644\u064a\u0648\u0645 \u062a\u0632\u0648\u064a\u062f \u0627\u0644\u0633\u0648\u0642 \u0627\u0644\u062a\u0648\u0646\u0633\u064a\u0647 \u0628\u0627\u0644\u063a\u0627\u0632 \u0627\u0644\u0637\u0628\u064a\u0639\u064a \u0639\u0628\u0631 \u0627\u0644\u0627\u0646\u0627\u0628\u064a\u0628 \u0648\u062a\u0632\u0648\u064a\u062f \u0627\u0644\u0645\u0646\u0627\u0637\u0642 \u0628\u0627\u0644\u0628\u062a\u0631\u0648\u0644 \u0627\u0644\u0645\u0633\u0627\u0644 \u0627\u0636\u0627\u0641\u0647 \u0627\u0644\u0649 \u062f\u0639\u0645 \u0627\u0644\u062a\u0639\u0627\u0648\u0646 \u0627\u0644\u0645\u062c\u0627\u0644 \u0627\u0644\u062a\u062c\u0627\u0631\u064a \u062a\u0645 \u0627\u0645\u0636\u0627\u0621 \u0645\u0630\u0643\u0631\u0647 \u062a\u0641\u0627\u0647\u0645 \u0639\u0642\u062f \u0644\u062a\u0643\u0648\u064a\u0646 \u062a\u0642\u0646\u0646\u064a\u0646 \u062a\u0648\u0646\u0633\u064a\u064a\u0646 \u0627\u0644\u062c\u0632\u0627\u0626\u0631",
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+ "target": "\u0643\u0645\u0627 \u062a\u0645 \u0627\u0645\u0636\u0627\u0621 \u0645\u0630\u0643\u0631\u0629 \u062a\u0641\u0627\u0647\u0645 \u0639\u0642\u062f \u0644\u062a\u0643\u0648\u064a\u0646 \u062a\u0642\u0646\u0646\u064a\u0646 \u062a\u0648\u0646\u0633\u064a\u064a\u0646 \u0641\u064a \u0627\u0644\u062c\u0632\u0627\u0626\u0631 ."
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+ },
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+ {
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+ "text": "\u0642\u0627\u0644 \u0627\u0644\u0648\u0632\u064a\u0631 \u0627\u0644\u0627\u0648\u0644 \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a \u0639\u0628\u062f \u0627\u0644\u0645\u0627\u0644\u0643 \u0633\u0644\u0627\u0644 \u0627\u062b\u0631 \u0644\u0642\u0627\u0621 \u062c\u0645\u0639\u0647 \u0628\u0631\u0626\u064a\u0633 \u0645\u062c\u0644\u0633 \u0646\u0648\u0627\u0628 \u0627\u0644\u0634\u0639\u0628 \u0645\u062d\u0645\u062f \u0627\u0644\u0646\u0627\u0635\u0631 \u0627\u0644\u0639\u0644\u0627\u0642\u0627\u062a \u0627\u0644\u062b\u0646\u0627\u0626\u064a\u0647 \u0627\u0644\u0628\u0644\u062f\u064a\u0646 \u0645\u0645\u064a\u0632\u0647 \u0648\u0633\u062a\u0643\u0648\u0646 \u0627\u062d\u0633\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0641\u062a\u0631\u0647 \u0627\u0644\u0642\u0627\u062f\u0645\u0647 \u0648\u0627\u0636\u0627\u0641 \u062a\u0635\u0631\u064a\u062d \u0644\u0645\u0631\u0627\u0633\u0644 \u0627\u0644\u062c\u0648\u0647\u0631\u0647 \u0627\u0641 \u0627\u0645 \u0627\u0646\u0647 \u0639\u0627\u0647\u062f \u0631\u0626\u064a\u0633 \u0627\u0644\u0645\u062c\u0644\u0633 \u0628\u0627\u0644\u0645\u062d\u0627\u0641\u0638\u0647 \u0645\u062a\u0627\u0646\u0647 \u0627\u0644\u0639\u0644\u0627\u0642\u0647 \u0627\u0644\u0628\u0644\u062f\u064a\u0646 \u0648\u0645\u0648\u0627\u0635\u0644\u0647 \u0627\u0644\u062a\u0642\u062f\u0645 \u0648\u0627\u0644\u0639\u0645\u0644 \u0645\u0639\u0627 \u0648\u0627\u0648\u0636\u062d \u0639\u0628\u062f \u0627\u0644\u0645\u0627\u0644\u0643 \u0633\u0644\u0627\u0644 \u0645\u062d\u0645\u062f \u0627\u0644\u0646\u0627\u0635\u0631 \u0627\u0628\u062f\u0649 \u062f\u0639\u0645\u0647 \u0644\u0644\u0645\u0646\u0647\u062c \u062a\u0646\u062a\u0647\u062c\u0647 \u0627\u0644\u062c\u0632\u0627\u0626\u0631 \u0648\u0639\u0645\u0644\u0647\u0627 \u0648\u064a\u0627\u062a\u064a \u0627\u062c\u062a\u0645\u0627\u0639 \u0627\u0644\u0648\u0632\u064a\u0631 \u0627\u0644\u0627\u0648\u0644 \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a \u0628\u0631\u0626\u064a\u0633 \u0627\u0644\u0645\u062c\u0644\u0633 \u0647\u0627\u0645\u0634 \u0632\u064a\u0627\u0631\u0647 \u0639\u0645\u0644 \u0627\u062f\u0627\u0647\u0627 \u0627\u0644\u064a\u0648\u0645 \u0627\u0644\u062e\u0645\u064a\u0633 \u062a\u0648\u0646\u0633 \u062a\u0631\u0627\u0633 \u062e\u0644\u0627\u0644\u0647\u0627 \u0627\u0634\u063a\u0627\u0644 \u0627\u0644\u062f\u0648\u0631\u0647 \u0627\u0644 \u0644\u0644\u062c\u0646\u0647 \u0627\u0644\u0645\u062e\u062a\u0644\u0637\u0647 \u0627\u0644\u0639\u0644\u064a\u0627 \u0627\u0644\u062a\u0648\u0646\u0633\u064a\u0647 \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a\u0647 \u0631\u0641\u0642\u0647 \u0631\u0626\u064a\u0633 \u0627\u0644\u062d\u0643\u0648\u0645\u0647 \u064a\u0648\u0633\u0641 \u0627\u0644\u0634\u0627\u0647\u062f \u0648\u0627\u0644\u062a\u064a \u0627\u0646\u062a\u0647\u062a \u0628\u0627\u0644\u0645\u0635\u0627\u062f\u0642\u0647 \u0639\u062f\u064a\u062f \u0627\u0644\u0627\u062a\u0641\u0627\u0642\u064a\u0627\u062a \u062a\u0648\u0646\u0633 \u0648\u0627\u0644\u062c\u0632\u0627\u0626\u0631",
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+ "target": "\n\u0642\u0627\u0644 \u0627\u0644\u0648\u0632\u064a\u0631 \u0627\u0644\u0623\u0648\u0644 \u0627\u0644\u062c\u0632\u0627\u0626\u0631\u064a \u0639\u0628\u062f \u0627\u0644\u0645\u0627\u0644\u0643 \u0633\u0644\u0627\u0644 \u0627\u062b\u0631 \u0644\u0642\u0627\u0621 \u062c\u0645\u0639\u0647 \u0628\u0631\u0626\u064a\u0633 \u0645\u062c\u0644\u0633 \u0646\u0648\u0627\u0628 \u0627\u0644\u0634\u0639\u0628 \u0645\u062d\u0645\u062f \u0627\u0644\u0646\u0627\u0635\u0631\u060c \u0625\u0646 \u0627\u0644\u0639\u0644\u0627\u0642\u0627\u062a \u0627\u0644\u062b\u0646\u0627\u0626\u064a\u0629 \u0628\u064a\u0646 \u0627\u0644\u0628\u0644\u062f\u064a\u0646 \u0645\u0645\u064a\u0632\u0629 \u0648\u0633\u062a\u0643\u0648\u0646 \u0623\u062d\u0633\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0641\u062a\u0631\u0629 \u0627\u0644\u0642\u0627\u062f\u0645\u0629."
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+ }
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+ ]
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+ ```
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+
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+ ### Dataset Fields
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+
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+ The dataset has the following fields (also called "features"):
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+
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+ ```json
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+ {
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+ "text": "Value(dtype='string', id=None)",
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+ "target": "Value(dtype='string', id=None)"
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+ }
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+ ```
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+
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+ ### Dataset Splits
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+
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+ This dataset is split into a train and validation split. The split sizes are as follow:
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+
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+ | Split name | Num samples |
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+ | ------------ | ------------------- |
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+ | train | 5102 |
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+ | valid | 1276 |
processed/dataset_dict.json ADDED
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+ {"splits": ["train", "valid"]}
processed/train/dataset.arrow ADDED
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+ size 7997368
processed/train/dataset_info.json ADDED
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+ {
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+ "citation": "",
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+ "description": "AutoTrain generated dataset",
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+ "features": {
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+ "text": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ "target": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ }
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+ },
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+ "homepage": "",
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+ "license": "",
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+ "splits": {
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+ "train": {
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+ "name": "train",
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+ "num_bytes": 7995538,
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+ "num_examples": 5102,
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+ "dataset_name": null
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+ }
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+ }
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+ }
processed/train/state.json ADDED
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+ {
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+ "_data_files": [
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+ {
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+ "filename": "dataset.arrow"
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+ }
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+ ],
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+ "_fingerprint": "763feda77f914e7e",
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+ "_format_columns": [
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+ "target",
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+ "text"
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+ ],
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+ "_format_kwargs": {},
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+ "_format_type": null,
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+ "_indexes": {},
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+ "_output_all_columns": false,
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+ "_split": null
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+ }
processed/valid/dataset.arrow ADDED
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+ size 1991232
processed/valid/dataset_info.json ADDED
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+ "citation": "",
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+ "description": "AutoTrain generated dataset",
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+ "features": {
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+ "text": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ },
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+ "target": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ }
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+ },
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+ "homepage": "",
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+ "num_bytes": 1990389,
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+ "num_examples": 1276,
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+ "dataset_name": null
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+ }
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+ }
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+ }
processed/valid/state.json ADDED
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+ }
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+ "_fingerprint": "6f8e379c4fc4c62b",
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+ "_format_columns": [
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+ "_format_kwargs": {},
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+ "_split": null
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+ }