Urdu Sentiment Binary Classification Dataset

Presenting a binary sentiment classification resource for Urdu text, created by concatenating two existing datasets. It was authored by hassan4830 and last updated in July 2022.

Use Cases

• Train a binary sentiment classifier on Urdu text data.
• Perform comparative analysis of sentiment across the two concatenated Urdu datasets.
• Fine-tune a language model for Urdu text classification tasks.

Strengths

• The dataset is derived from two established sources: the Urdu Sentiment Corpus and a translated IMDB movie review dataset.
• It is tagged for text modality, indicating its suitability for NLP tasks.

Limitations

• The specific number of rows, columns, and sample data are unknown, limiting assessment of scale and structure.
• The dataset's composition and potential class balance are unclear without column or sample details.
• The last update was in 2022, which may affect temporal relevance for some applications.

Provenance

Source

Concatenated from the Urdu Sentiment Corpus on GitHub and a translated Urdu IMDB movie review dataset on Kaggle.

Collection Method

Concatenation of two existing datasets.

Freshness

Last updated 2022-07-21.