autotrain-data-processor commited on
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Processed data from AutoTrain data processor ([2023-04-17 12:08 ]

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README.md ADDED
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+ ---
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+ language:
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+ - es
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+ task_categories:
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+ - text-classification
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+
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+ ---
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+ # AutoTrain Dataset for project: taras_es_sentiment_analysis
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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 taras_es_sentiment_analysis.
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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 es.
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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": "Varela: gran elecci\u00f3n de la izquierda en Centro de Estudiantes del ISFD 54",
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+ "feat_id_noticia": 15707,
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+ "feat_target": "la izquierda",
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+ "target": 2
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+ },
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+ {
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+ "text": "El casamiento de Alberto Cormillot y Estefan\u00eda Pasquini: cu\u00e1ndo se conocieron y en qu\u00e9 fecha ella anunci\u00f3 la boda",
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+ "feat_id_noticia": 18813,
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+ "feat_target": "Alberto",
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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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+ "text": "Value(dtype='string', id=None)",
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+ "feat_id_noticia": "Value(dtype='int16', id=None)",
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+ "feat_target": "Value(dtype='string', id=None)",
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+ "target": "ClassLabel(names=['NEG', 'NEU', 'POS'], 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 | 1096 |
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+ | valid | 275 |
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+ {"splits": ["train", "valid"]}
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+ "description": "AutoTrain generated dataset",
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+ "_type": "Value"
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+ "feat_target": {
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+ "dtype": "string",
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+ "_type": "Value"
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+ "target": {
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+ "names": [
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+ "NEG",
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+ "NEU",
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+ "POS"
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+ "_type": "ClassLabel"
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