README.md

---
dataset_info:
  features:
  - name: prompt
    dtype: string
  - name: completion
    dtype: string
  splits:
  - name: train
    num_bytes: 1889087
    num_examples: 1859
  - name: valid
    num_bytes: 1846774
    num_examples: 1860
  - name: test
    num_bytes: 1907032
    num_examples: 1849
  download_size: 1533748
  dataset_size: 5642893
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: valid
    path: data/valid-*
  - split: test
    path: data/test-*
---
# Dataset/stack_multilabel_subset_completion

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.

**Source:** The original dataset is from [harpreetmann/stack_multilabel_subset_completion](https://huggingface.co/datasets/harpreetmann/stack_multilabel_subset_completion).

**Description:**
The dataset is used for training and evaluating models on multilabel text classification, specifically for identifying relevant programming tags based on the provided text.

**Structure:**
The dataset is saved in Parquet format within this directory, organized into train, validation, and test splits.


## Additional Details

**Intended Use:** This dataset is intended for training and evaluating multi-label text classification models for programming-related topics.

**Preprocessing:** The dataset was preprocessed to extract relevant text and labels from a larger source.

**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.