Dataset research report
Poem Sentiment 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 Gutenberg Poem Dataset Dataset Summary Poem Sentiment is a sentiment dataset of poem verses from Project Gutenberg. This dataset can be used for tasks such as sentiment classification or style transfer for poems. Supported Tasks and Leaderboards [More Information Needed] Languages The text in the dataset is in English (en). Dataset Structure Data Instances Example of one instance in the dataset. {'id': 0… See the full description on the dataset page: https://huggingface.co/datasets/google-research-datasets/poem_sentiment.
Research Context
Poem Sentiment: 500 rows by 3 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
| # | idinteger | verse_texttext | labelinteger |
|---|---|---|---|
| 1 | 0 | with pale blue berries. in these peaceful shades-- | 1 |
| 2 | 1 | it flows so long as falls the rain, | 2 |
| 3 | 2 | and that is why, the lonesome day, | 0 |
| 4 | 3 | when i peruse the conquered fame of heroes, and the victories of mighty generals, i do not envy the generals, | 3 |
| 5 | 4 | of inward strife for truth and liberty. | 3 |
| 6 | 5 | the red sword sealed their vows! | 3 |
Data Dictionary
- id numeric
- verse_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.