Add dataset card

README.md

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+---
+pretty_name: Batch Effects Leaderboard Data
+task_categories:
+- tabular-classification
+tags:
+- batch-effects
+- domain-adaptation
+- proteomics
+- metabolomics
+- machine-learning
+---
+
+# Batch Effects Leaderboard Data
+
+Data repository for the Batch Effects Leaderboard.
+
+This repository contains the datasets used by the leaderboard application:
+
+- `massbench_adenocarcinoma`
+- `massbench_alzheimer`
+- `massbench_benchmark`
+- `normal_tissue_878`
+- `colon_3041`
+
+## File organization
+
+Each dataset is stored under:
+
+`data/datasets/<dataset_name>/`
+
+Typical files include:
+
+- `<dataset>_all.csv` — preferred complete dataset for research workflows
+- `<dataset>_train.csv` — original training split
+- `<dataset>_test.csv` — original test split
+- `<dataset>_inference.csv` — inference matrix
+- `<dataset>_predictions.csv` — reference labels / prediction metadata used by the project
+
+## Recommended workflow
+
+The Batch Effects Leaderboard app favors `*_all.csv` as the default labeled source.
+
+Users may instead select `*_train.csv`.
+
+The selected source can be evaluated using:
+
+- train / validation / test batch splits
+- train / validation only
+
+The separate inference workflow uses an inference target file and does not require a test split.
+
+Some samples may have missing labels. These samples can still be retained for unsupervised representation learning or batch-effect correction and should be excluded only from supervised loss and supervised metrics.
+
+## Project
+
+These files are used by the Batch Effects Leaderboard research application.