This pull request aims to enrich the metadata of your dataset by adding language metadata to `YAML` block of your dataset card `README.md`.
How did we find this information?
- The librarian-bot downloaded a sample of rows from your dataset using the [dataset-server](https://huggingface.co/docs/datasets-server/) library
- The librarian-bot used a language detection model to predict the likely language of your dataset. This was done on columns likely to contain text data.
- Predictions for rows are aggregated by language and a filter is applied to remove languages which are very infrequently predicted
- A confidence threshold is applied to remove languages which are not confidently predicted
The following languages were detected with the following mean probabilities:
- English (en): 98.91%
If this PR is merged, the language metadata will be added to your dataset card. This will allow users to filter datasets by language on the [Hub](https://huggingface.co/datasets).
If the languag…
# Vent Here Dataset - Emotion and Sentiment Analysis
## Overview
This dataset contains sentiment and emotion analysis results of venting content scraped from the Ethiopian-based Telegram channel [Vent Here](https://t.me/vent_here). The dataset provides insight into the emotional expressions and sentiments of users in the channel. The text data has been processed and analyzed using state-of-the-art NLP techniques to extract emotion and sentiment labels.
## Dataset Details
- **Source**: The data was scraped from the Telegram channel [Vent Here](https://t.me/vent_here), a community space where users express their feelings and emotions.
- **Cleaning Process**: The raw data was pre-processed by:
- Removing emojis
- Removing text prefixes
- Filtering out non-English language columns to focus on English text
## Columns
- **date**: The timestamp when the venting content was posted.
- **text**: The cleaned vent text content.
- **emotion_label**: The predicted emotion label for…
