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Dataset assetOpen Source CommunitySentiment AnalysisText Classification
mr
This dataset is intended for text‑classification tasks and contains two features: the text content and a label. Labels are binary, with 'neg' (negative) and 'pos' (positive). The data are split into training, validation, and test sets for model training, validation, and testing, respectively.
Source
huggingface
Created
Nov 28, 2024
Updated
Nov 28, 2024
Signals
384 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
Dataset Information
- Features:
- text: String type.
- label: Categorical label with two classes:
0: negative (neg)1: positive (pos)
Data Splits
- train:
- Sample count: 8,530
- Size: 1,074,806 bytes
- validation:
- Sample count: 1,066
- Size: 134,675 bytes
- test:
- Sample count: 1,066
- Size: 135,968 bytes
Dataset Size
- Download Size: 886,815 bytes
- Total Size: 1,345,449 bytes
Configuration
- Config Name: default
- Data File Paths:
- train:
data/train-* - validation:
data/validation-* - test:
data/test-*
- train:
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