Add dataset card

README.md

@@ -1,19 +1,48 @@
 ---
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  - name: label
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 33231449
-    num_examples: 24831
-  download_size: 20827925
-  dataset_size: 33231449
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+tags:
+- deduplicated
+- semhash
+- semantic-deduplication
+task_categories:
+- text-generation
+size_categories:
+- 10K<n<100K
 ---
+
+# Deduplicated imdb
+
+This dataset is a deduplicated version of [imdb](https://huggingface.co/datasets/imdb) 
+using semantic deduplication with [SemHash](https://github.com/MinishLab/semhash).
+
+## Deduplication Details
+
+- **Method**: deduplicate
+- **Column**: `text`
+- **Original size**: 25,000 samples
+- **Deduplicated size**: 24,831 samples
+- **Duplicate ratio**: 0.68%
+- **Reduction**: 0.68%
+
+- **Date processed**: 2025-06-27
+
+## How to use
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("imdb-deduplicated")
+```
+
+## Processing script
+
+This dataset was created using the following script:
+
+```bash
+uv run dedupe-dataset.py imdb text <repo_id> --method deduplicate
+```
+
+## About semantic deduplication
+
+Unlike exact deduplication, semantic deduplication identifies and removes samples that are 
+semantically similar even if they use different words. This helps create cleaner training 
+datasets and prevents data leakage between train/test splits.