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Update README with additional details

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- ---
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- dataset_info:
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- features:
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- - name: prompt
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- dtype: string
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- - name: completion
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 1415916
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- num_examples: 1859
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- - name: valid
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- num_bytes: 1440885
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- num_examples: 1860
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- - name: test
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- num_bytes: 1421070
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- num_examples: 1849
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- download_size: 1526939
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- dataset_size: 4277871
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- configs:
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- - config_name: default
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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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- ---
 
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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.