Dataset research report
Tweet Eval 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 tweet_eval Dataset Summary TweetEval consists of seven heterogenous tasks in Twitter, all framed as multi-class tweet classification. The tasks include - irony, hate, offensive, stance, emoji, emotion, and sentiment. All tasks have been unified into the same benchmark, with each dataset presented in the same format and with fixed training, validation and test splits. Supported Tasks and Leaderboards text_classification: The dataset can be… See the full description on the dataset page: https://huggingface.co/datasets/cardiffnlp/tweet_eval.
Research Context
Tweet Eval: 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 | "QT @user In the original draft of the 7th book, Remus Lupin survived the Battle of Hogwarts. #HappyBirthdayRemusLupin" | 2 |
| 2 | "Ben Smith / Smith (concussion) remains out of the lineup Thursday, Curtis #NHL #SJ" | 1 |
| 3 | Sorry bout the stream last night I crashed out but will be on tonight for sure. Then back to Minecraft in pc tomorrow night. | 1 |
| 4 | Chase Headley's RBI double in the 8th inning off David Price snapped a Yankees streak of 33 consecutive scoreless innings against Blue Jays | 1 |
| 5 | @user Alciato: Bee will invest 150 million in January, another 200 in the Summer and plans to bring Messi by 2017" | 2 |
| 6 | @user LIT MY MUM 'Kerry the louboutins I wonder how many Willam owns!!! Look Kerry Warner Wednesday!' | 2 |
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.