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image_path
imagewidth (px)
128
128
text
stringclasses
662 values
label_id
int32
0
661
filename
stringlengths
20
20
0
CHAR_0001_000000.png
0
CHAR_0001_000001.png
0
CHAR_0001_000002.png
0
CHAR_0001_000003.png
0
CHAR_0001_000004.png
0
CHAR_0001_000005.png
0
CHAR_0001_000007.png
0
CHAR_0001_000008.png
0
CHAR_0001_000009.png
0
CHAR_0001_000010.png
0
CHAR_0001_000011.png
0
CHAR_0001_000014.png
0
CHAR_0001_000016.png
0
CHAR_0001_000019.png
0
CHAR_0001_000020.png
0
CHAR_0001_000021.png
0
CHAR_0001_000022.png
0
CHAR_0001_000023.png
0
CHAR_0001_000024.png
0
CHAR_0001_000025.png
0
CHAR_0001_000026.png
0
CHAR_0001_000027.png
0
CHAR_0001_000029.png
0
CHAR_0001_000031.png
0
CHAR_0001_000033.png
0
CHAR_0001_000036.png
0
CHAR_0001_000037.png
0
CHAR_0001_000038.png
0
CHAR_0001_000039.png
0
CHAR_0001_000040.png
0
CHAR_0001_000041.png
0
CHAR_0001_000042.png
0
CHAR_0001_000044.png
0
CHAR_0001_000045.png
0
CHAR_0001_000046.png
0
CHAR_0001_000047.png
0
CHAR_0001_000048.png
0
CHAR_0001_000049.png
0
CHAR_0001_000050.png
0
CHAR_0001_000051.png
0
CHAR_0001_000052.png
0
CHAR_0001_000054.png
0
CHAR_0001_000055.png
0
CHAR_0001_000057.png
0
CHAR_0001_000058.png
0
CHAR_0001_000060.png
0
CHAR_0001_000063.png
0
CHAR_0001_000064.png
0
CHAR_0001_000065.png
0
CHAR_0001_000069.png
0
CHAR_0001_000070.png
0
CHAR_0001_000074.png
0
CHAR_0001_000075.png
0
CHAR_0001_000077.png
0
CHAR_0001_000079.png
0
CHAR_0001_000081.png
0
CHAR_0001_000082.png
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CHAR_0001_000084.png
0
CHAR_0001_000086.png
0
CHAR_0001_000087.png
0
CHAR_0001_000088.png
0
CHAR_0001_000089.png
0
CHAR_0001_000090.png
0
CHAR_0001_000091.png
0
CHAR_0001_000092.png
0
CHAR_0001_000094.png
0
CHAR_0001_000095.png
0
CHAR_0001_000098.png
0
CHAR_0001_000099.png
0
CHAR_0001_000100.png
0
CHAR_0001_000101.png
0
CHAR_0001_000103.png
0
CHAR_0001_000105.png
0
CHAR_0001_000106.png
0
CHAR_0001_000107.png
0
CHAR_0001_000108.png
0
CHAR_0001_000113.png
0
CHAR_0001_000114.png
0
CHAR_0001_000115.png
0
CHAR_0001_000120.png
0
CHAR_0001_000122.png
0
CHAR_0001_000124.png
0
CHAR_0001_000126.png
0
CHAR_0001_000129.png
0
CHAR_0001_000130.png
0
CHAR_0001_000131.png
0
CHAR_0001_000132.png
0
CHAR_0001_000134.png
0
CHAR_0001_000135.png
0
CHAR_0001_000137.png
0
CHAR_0001_000138.png
0
CHAR_0001_000139.png
0
CHAR_0001_000142.png
0
CHAR_0001_000143.png
0
CHAR_0001_000145.png
0
CHAR_0001_000146.png
0
CHAR_0001_000147.png
0
CHAR_0001_000149.png
0
CHAR_0001_000150.png
0
CHAR_0001_000151.png
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Malayalam Character Dataset

This dataset contains 136,344 images of Malayalam characters, covering 662 distinct classes.

Dataset Structure

The dataset is organized as a single split (train) with the following columns:

  • image_path: The character image (128x128 grayscale).
  • text: The Malayalam character/word represented in the image.
  • label_id: Integer label ID (0-661).
  • filename: Original filename.

Classes

The dataset includes:

  • Basic consonants and vowels
  • Consonants with vowel signs (matras)
  • Conjunct characters (koottaksharam)
  • Numerals
  • Miscellaneous signs

Creation

  • Source: Aggregated from multiple sources and augmented.
  • Augmentation: Rotation, translation, noise, and scaling applied to expand smaller classes (e.g., vowel signs).
  • Format: Uploaded as Parquet for efficiency.

License

[Add License Here - e.g., MIT, CC-BY-4.0]

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