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.
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.