Dataset research report
Cifar100 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 CIFAR-100 Dataset Summary The CIFAR-100 dataset consists of 60000 32x32 colour images in 100 classes, with 600 images per class. There are 500 training images and 100 testing images per class. There are 50000 training images and 10000 test images. The 100 classes are grouped into 20 superclasses. There are two labels per image - fine label (actual class) and coarse label (superclass). Supported Tasks and Leaderboards image-classification: The… See the full description on the dataset page: https://huggingface.co/datasets/uoft-cs/cifar100.
Research Context
Cifar100: 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.
Total fine_label by img
Top img values ranked by summed fine_label.
Open and export this chartfine_label vs coarse_label
fine_label vs coarse_label, coloured by img.
Open and export this chartFollow-Up Queries
Preview Rows
| # | imgtext | fine_labelinteger | coarse_labelinteger |
|---|---|---|---|
| 1 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x7551B091E780> | 19 | 11 |
| 2 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x75513FF156E0> | 29 | 15 |
| 3 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x7551B091E780> | 0 | 4 |
| 4 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x75513FF156E0> | 11 | 14 |
| 5 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x7551B091E780> | 1 | 1 |
| 6 | <PIL.PngImagePlugin.PngImageFile image mode=RGB size=32x32 at 0x75513FF156E0> | 86 | 5 |
Data Dictionary
- img categorical
- fine_label numeric
- coarse_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.