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README.md

@@ -1,34 +1,56 @@
 ---
-dataset_info:
-  features:
-  - name: input_ids
-    list: int32
-  - name: labels
-    list: int32
-  - name: puzzle_id
-    dtype: int32
-  - name: original_puzzle_id
-    dtype: string
-  - name: subset_name
-    dtype: string
-  - name: group_id
-    dtype: int32
-  - name: example_index
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 2238801612
-    num_examples: 308510
-  - name: test
-    num_bytes: 304111557
-    num_examples: 41907
-  download_size: 39637095
-  dataset_size: 2542913169
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+license: mit
+task_categories:
+- image-to-image
+- text-generation
+language:
+- en
+tags:
+- arc
+- agi
+- reasoning
+- augmentation
+pretty_name: ARC-AGI Augmented Dataset
+size_categories:
+- 10k<n<100k
 ---
+
+# ARC-AGI Augmented Dataset
+
+This dataset is an augmented version of the **Abstraction and Reasoning Corpus (ARC-AGI)**, processed for training neural networks (such as Transformers or Neural Cellular Automata).
+
+## Dataset Details
+
+- **Original Source:** [ARC-AGI Benchmark](https://github.com/fchollet/ARC)
+- **License:** MIT
+- **Augmentation Method:**
+    - **Dihedral Transformations:** 8 symmetries (rotations/flips).
+    - **Color Permutation:** Random permutation of colors 1-9 (0 is fixed as background).
+    - **Translational Padding:** Randomly positioning the grid within a 30x30 canvas.
+- **Seed:** `42`
+- **Augmentation Factor:** `100` per puzzle.
+
+## Statistics
+
+- **Total Original Puzzles:** 1189
+- **Total Augmented Examples:** 350417
+
+## Data Structure
+
+Each row in the dataset represents a single input/output example pair (flattened).
+
+- `input_ids`: Flattened array (int32) of the input grid.
+    - Values: 0 (Pad), 1 (EOS), 2-11 (Colors 0-9).
+    - Dimensions: 30 x 30 flattened.
+- `labels`: Flattened array (int32) of the output grid.
+- `puzzle_id`: Integer ID for the puzzle.
+- `original_puzzle_id`: The hex string ID from the original ARC dataset (e.g., `007bbfb7`).
+- `group_id`: Identifies the augmentation group. All examples with the same `group_id` are variations of the same puzzle.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("KotshinZ/arc-agi-augmented-100")
+print(dataset["train"][0])