Datasets:
Replace Parquet tiles with shuffled Arrow shards
#2
by bwarner - opened
This view is limited to 50 files because it contains too many changes. See the raw diff here.
- README.md +14 -0
- shard-00000.parquet → shard-00000.arrow +2 -2
- shard-00001.parquet → shard-00001.arrow +2 -2
- shard-00002.parquet → shard-00002.arrow +2 -2
- shard-00025.parquet → shard-00003.arrow +2 -2
- shard-00003.parquet → shard-00004.arrow +2 -2
- shard-00004.parquet +0 -3
- shard-00005.arrow +3 -0
- shard-00005.parquet +0 -3
- shard-00006.arrow +3 -0
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- shard-00007.arrow +3 -0
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- shard-00009.arrow +3 -0
- shard-00009.parquet +0 -3
- shard-00010.arrow +3 -0
- shard-00010.parquet +0 -3
- shard-00011.arrow +3 -0
- shard-00011.parquet +0 -3
- shard-00012.arrow +3 -0
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- shard-00024.arrow +3 -0
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- shard-00025.arrow +3 -0
- shard-00026.arrow +3 -0
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README.md
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---
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tags:
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- histopathology
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- computational-pathology
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- tcga
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---
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# nanopath
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Pretraining tiles for [nanopath](https://github.com/MedARC-AI/nanopath), a lean experimental harness for training tile-level computational pathology foundation models, inspired by [nanochat](https://github.com/karpathy/nanochat).
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4 million shuffled TCGA pathology tiles, each 224 × 224 pixels.
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See the [project README](https://github.com/MedARC-AI/nanopath#readme) for training, data preparation, and evaluation instructions. Downstream evaluation data is available separately in [nanopath-evals](https://huggingface.co/datasets/medarc/nanopath-evals).
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shard-00000.parquet → shard-00000.arrow
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