autotrain-data-processor commited on
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Processed data from AutoTrain data processor ([2023-10-10 10:02 ]

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README.md ADDED
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+ ---
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+ {}
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+
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+ ---
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+ # AutoTrain Dataset for project: sql-injection
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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 sql-injection.
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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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+ "feat_Data": "1' where 5230 = 5230",
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+ "target": 1
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+ },
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+ {
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+ "feat_Data": "1'+ ( select ouhd where 8905 = 8905 and 6510 = ( select count ( * ) from sysusers as sys1,sysusers as sys2,sysusers as sys3,sysusers as sys4,sysusers as sys5,sysusers as sys6,sysusers as sys7 ) ) +'",
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+ "target": 1
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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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+ "feat_Data": "Value(dtype='string', id=None)",
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+ "target": "ClassLabel(names=['0', '1'], 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 | 40455 |
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+ | valid | 10115 |
processed/dataset_dict.json ADDED
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+ {"splits": ["train", "valid"]}
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+ "citation": "",
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+ "description": "AutoTrain generated dataset",
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+ "feat_Data": {
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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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+ "names": [
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+ "0",
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+ "1"
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+ ],
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+ "_type": "ClassLabel"
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+ "_type": "Value"
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+ "target": {
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