Dataset research report
Emotion research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Dataset Card for "emotion" Dataset Summary Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. For more detailed information please refer to the paper. Supported Tasks and Leaderboards More Information Needed Languages More Information Needed Dataset Structure Data Instances An example looks as follows. { "text": "im feeling quite sad and sorry for myself but… See the full description on the dataset page: https://huggingface.co/datasets/dair-ai/emotion.
Research Context
Emotion: 500 rows by 2 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Data Profile
Chart Evidence
These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.
Follow-Up Queries
Preview Rows
| # | texttext | labelinteger |
|---|---|---|
| 1 | i didnt feel humiliated | 0 |
| 2 | i can go from feeling so hopeless to so damned hopeful just from being around someone who cares and is awake | 0 |
| 3 | im grabbing a minute to post i feel greedy wrong | 3 |
| 4 | i am ever feeling nostalgic about the fireplace i will know that it is still on the property | 2 |
| 5 | i am feeling grouchy | 3 |
| 6 | ive been feeling a little burdened lately wasnt sure why that was | 0 |
Data Dictionary
- text text
- label numeric
Method And Limits
- Load the catalog entry and preview rows from the processed dataset file.
- Infer numeric, categorical, time, and location fields from real columns.
- Generate a small set of defensive Plotly chart specifications from that profile.
- Expose each chart idea as a query link so the report can be rerun or exported in Helix.
This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.