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data_files:
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- split: train
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path: data/train-*
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- split: valid
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path: data/valid-*
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- split: test
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path: data/test-*
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# Dataset: harpreetmann/stack_multilabel_subset_completion
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This dataset is a subset of a larger dataset for multilabel classification tasks. It contains prompts and corresponding labels related to programming languages and technologies.
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**Source:** The original dataset is from [harpreetmann/stack_multilabel_subset_completion](https://huggingface.co/datasets/harpreetmann/stack_multilabel_subset_completion).
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**Description:**
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The dataset is used for training and evaluating models on multilabel text classification, specifically for identifying relevant programming tags based on the provided text.
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**Structure:**
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The dataset is saved in Parquet format within this directory, organized into train, validation, and test splits.
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## Additional Details
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**Intended Use:** This dataset is intended for training and evaluating multi-label text classification models for programming-related topics.
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**Preprocessing:** The dataset was preprocessed to extract relevant text and labels from a larger source.
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**Data Format:** The dataset contains 'prompt' and 'label' columns. 'prompt' is a string containing the text to be classified, and 'label' is a list of strings representing the applicable tags.
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