Many duplicate datasets
Open
Nobody has claimed this yet.
- Dominant language
- PHP
- Stars
- 755
- Forks
- 128
- PR merge metrics
- No merged PRs in 30d
Description
import openml
datasets_active = openml.datasets.list_datasets(status="active")
import pandas as pd
df = pd.DataFrame(datasets_active).T
unique_versions = df.drop_duplicates(subset="name")
duplicated = unique_versions.duplicated(subset=['MajorityClassSize', 'MaxNominalAttDistinctValues', 'MinorityClassSize',
'NumberOfClasses', 'NumberOfFeatures', 'NumberOfInstances',
'NumberOfInstancesWithMissingValues', 'NumberOfMissingValues',
'NumberOfNumericFeatures', 'NumberOfSymbolicFeatures'], keep=False)
duplicated.sum()
990
(excluding QSAR I get 263)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by running the reported Python snippet using openml.datasets.list_datasets(status="active") and inspecting the resulting pandas DataFrame. Compare the 990 reported duplicates, or 263 excluding QSAR, to determine whether they are duplicate records or valid dataset versions. Done should mean the duplication is explained and a specific correction or handling decision is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, python
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100