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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.

storageHf descriptiontweet-eval--irony.parquet view_list500 rows

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.

Finding 1The dataset has 500 rows available in the catalog.
Finding 2The catalog exposes 2 documented or inferred columns.
Finding 3Helix has 4 ready query prompts for this dataset.
Finding 4This report includes 1 generated chart views.

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

Rows500
Columns2
Numeric cols1

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 seeing ppl walking w/ crutches makes me really excited for the next 3 weeks of my life1
2 look for the girl with the broken smile, ask her if she wants to stay while, and she will be loved. 💕🎵0
3 Now I remember why I buy books online @user #servicewithasmile1
4 @user @user So is he banded from wearing the clothes? #Karma1
5 Just found out there are Etch A Sketch apps. #oldschool #notoldschool1
6 Hey what do you know, one of the witnesses supporting Darren Wilson's story lied! And is racist! Mind blown!1

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.

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