Datasets:

Omarrran
/

Koshur_Pixel

	---
	license: cc-by-nd-4.0
	language:
	- ks

	task_categories:
	- image-to-text
	- text-to-image
	tags:
	- ocr
	- synthetic
	- kashmiri

	- nastaliq
	- nakash
	pretty_name: Koshur Pixel
	size_categories:
	- 100K<n<1M
	configs:
	- config_name: mixed
	data_files:
	- split: train
	path: data/mixed-*.parquet
	- config_name: sentence_line
	data_files:
	- split: train
	path: data/sentence_line-*.parquet
	- config_name: paragraph
	data_files:
	- split: train
	path: data/paragraph-*.parquet
	- config_name: page
	data_files:
	- split: train
	path: data/page-*.parquet
	- config_name: full
	data_files:
	- split: train
	path:
	- data/mixed-*.parquet
	- data/sentence_line-*.parquet
	- data/paragraph-*.parquet
	- data/page-*.parquet
	---

	# Koshur Pixel

	Koshur Pixel is a synthetic optical character recognition (OCR) dataset for Kashmiri (`ks`), in which Unicode text is rendered to images using Nastaliq / Naksh-style fonts and paired with its exact transcription. It is built for OCR recognition, image-to-text modeling, fine-tuning, and evaluation workflows that need clean, controllable image/label pairs at scale.

	Because the text is rendered programmatically, every image ships with a perfectly aligned ground-truth label — making the dataset well suited for pretraining, curriculum learning, and isolating model behavior before introducing noisy real-world scans.

	[![Paper](https://img.shields.io/badge/Paper-arXiv%2606.23144-b31b1b?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org/abs/2606.23144)

	### Sentences

	\| \| \| \| \|
	\|---\|---\|---\|---\|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/14tV4AooMkaJcIimlgmqc.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/14tV4AooMkaJcIimlgmqc.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/m1eJ25faohD4lux3JtvRi.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/m1eJ25faohD4lux3JtvRi.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/a_lorkWyhBqt208dY1_Jv.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/a_lorkWyhBqt208dY1_Jv.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/fWrRtpZ7i5U77K3W5dO1_.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/fWrRtpZ7i5U77K3W5dO1_.png" width="220"></a> \|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/vuRtKcI4WgoqL5QBViekM.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/vuRtKcI4WgoqL5QBViekM.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/k0jOOKGr3hP3Dg0lmOk4X.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/k0jOOKGr3hP3Dg0lmOk4X.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/rL57eosDS-Tp36XrxAc5q.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/rL57eosDS-Tp36XrxAc5q.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/WtaFA7wsr_jucexZFJK_q.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/WtaFA7wsr_jucexZFJK_q.png" width="220"></a> \|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/BWdJNB6n-swJ1Cxqimed8.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/BWdJNB6n-swJ1Cxqimed8.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/-OIEeZv9vQNb3oHC9QDpe.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/-OIEeZv9vQNb3oHC9QDpe.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/eAqtuPGVxK1FgUmMwzRgd.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/eAqtuPGVxK1FgUmMwzRgd.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/K6PLTfhYUbKHhHtzbKE-i.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/K6PLTfhYUbKHhHtzbKE-i.png" width="220"></a> \|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/yT_yuA22akWD48GUJxghP.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/yT_yuA22akWD48GUJxghP.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/-OIEeZv9vQNb3oHC9QDpe.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/-OIEeZv9vQNb3oHC9QDpe.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/13GKPQKdf4l9WuCZsBvuO.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/13GKPQKdf4l9WuCZsBvuO.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/ZshS462LEuurAB24NSgNt.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/ZshS462LEuurAB24NSgNt.png" width="220"></a> \|

	### Paragraphs

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	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/EYGlHf_C_tQGLUFHlm20C.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/EYGlHf_C_tQGLUFHlm20C.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/PciY0KIN4W6Izt1zvVAqW.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/PciY0KIN4W6Izt1zvVAqW.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/j3RLv_2Lm_ptZq-wT8GHU.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/j3RLv_2Lm_ptZq-wT8GHU.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/CDQMhCNtwzx6k_a1G2eM9.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/CDQMhCNtwzx6k_a1G2eM9.png" width="220"></a> \|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/1Vogn24CLRjNniMywYIlL.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/1Vogn24CLRjNniMywYIlL.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/QSKi1TS3F9hcMyZAPCKHz.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/QSKi1TS3F9hcMyZAPCKHz.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/XUEi5wi-XSHjxaX4sdfN4.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/XUEi5wi-XSHjxaX4sdfN4.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/rFMCVYKCDj6GABmIwVwdb.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/rFMCVYKCDj6GABmIwVwdb.png" width="220"></a> \|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/W2nva_AdHjoOVwAJai-_P.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/W2nva_AdHjoOVwAJai-_P.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/UIHaB1QixucRenExftI5I.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/UIHaB1QixucRenExftI5I.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/EBC6M48oknrw2S0zprf4W.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/EBC6M48oknrw2S0zprf4W.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/q1EGmc52kT-o8ouReuGGn.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/q1EGmc52kT-o8ouReuGGn.png" width="220"></a> \|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/tBVHyTifjOjUoEFOwFa_6.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/tBVHyTifjOjUoEFOwFa_6.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/Kjz5tQkWiaXSKRZwAUZ9E.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/Kjz5tQkWiaXSKRZwAUZ9E.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/IFTDXvNrCqwrri3U8Z2Tu.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/IFTDXvNrCqwrri3U8Z2Tu.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/V0l26b3vwKjyKi-W76QuM.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/V0l26b3vwKjyKi-W76QuM.png" width="220"></a> \|

	### Pages


	\| \| \| \| \|
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	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/A8l0DSxpE9nDesYMUvNuf.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/A8l0DSxpE9nDesYMUvNuf.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/ZrPf-AS4_Nho3DC45Czcv.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/ZrPf-AS4_Nho3DC45Czcv.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/T_cr1uGdiCr4cUZXBRfAs.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/T_cr1uGdiCr4cUZXBRfAs.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/9bHDoFIfnrviegSg5FUTH.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/9bHDoFIfnrviegSg5FUTH.png" width="220"></a> \|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/2o-4th_vviDS5DajglnHs.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/2o-4th_vviDS5DajglnHs.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/FgaCJr25rdxQvDQFGsHdO.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/FgaCJr25rdxQvDQFGsHdO.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/DGvjNVl7KUm20cwfQgvFH.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/DGvjNVl7KUm20cwfQgvFH.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/1IVTEx5X7RsXUiUFwb3nl.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/1IVTEx5X7RsXUiUFwb3nl.png" width="220"></a> \|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/EnzToYly-n3sgkUoJMOq0.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/EnzToYly-n3sgkUoJMOq0.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/Q4c7rUIfYFuIv3p_7jbuy.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/Q4c7rUIfYFuIv3p_7jbuy.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/NzaVcabcREjXeAu2CA2p8.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/NzaVcabcREjXeAu2CA2p8.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/29UWdGdkqDRcCJ64Ylyai.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/29UWdGdkqDRcCJ64Ylyai.png" width="220"></a> \|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/tBVHyTifjOjUoEFOwFa_6.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/tBVHyTifjOjUoEFOwFa_6.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/Kjz5tQkWiaXSKRZwAUZ9E.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/Kjz5tQkWiaXSKRZwAUZ9E.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/IFTDXvNrCqwrri3U8Z2Tu.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/IFTDXvNrCqwrri3U8Z2Tu.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/V0l26b3vwKjyKi-W76QuM.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/V0l26b3vwKjyKi-W76QuM.png" width="220"></a> \|
	\| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/By3HPwyYXGHd3tajHFIRk.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/By3HPwyYXGHd3tajHFIRk.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/omWBISkOkhknJ_2A0Rzvw.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/omWBISkOkhknJ_2A0Rzvw.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/yDVI6PNO5KCPXUNTcWTeF.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/yDVI6PNO5KCPXUNTcWTeF.png" width="220"></a> \| <a href="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/jrr1hcw7-vMKbTyoVfiCI.png"><img src="https://cdn-uploads.huggingface.co/production/uploads/66afb3f1eaf3e876595627bf/jrr1hcw7-vMKbTyoVfiCI.png" width="220"></a> \|




































	## Dataset summary




















	\| Property \| Value \|
	\|---\|---\|
	\| Language \| Kashmiri (`ks`) \|
	\| Script \| Perso-Arabic (Nastaliq / Naksh) \|
	\| Modality \| Image → Text (OCR) \|
	\| Source \| Synthetic (font-rendered) \|
	\| Fonts \| Gulmarg Nastaleeq, Afan Koshur Naksh \|
	\| Total rows (`full`) \| 613,078. \|
	\| License \| CC BY-ND 4.0 \|



	## Configurations and sizes


























	The dataset is organized by render granularity. Each granularity is exposed as its own config, plus a `full` config that virtually concatenates all four.

	\| Config \| Description \| Rows \|
	\|---\|---\|---:\|
	\| `mixed` \| Mixed-granularity segments (word, sentence/line, paragraph, and page level) \| 119,114 \|
	\| `sentence_line` \| Sentence / line-level renders \| 378,534 \|
	\| `paragraph` \| Longer paragraph-level renders \| 72,851 \|
	\| `page` \| Page-level renders \| 42,679 \|
	\| `full` \| Concatenation of all four configs above \| 613,078. \|

	## Data fields

	Every row shares the same schema across all configs:

	\| Field \| Type \| Description \|
	\|---\|---\|---\|
	\| `image` \| `Image` \| Rendered OCR image \|
	\| `text` \| `string` \| Unicode text label (exact transcription) \|
	\| `sample_type` \| `string` \| One of `mixed`, `sentence_line`, `paragraph`, `page` \|
	\| `font_family` \| `string` \| Renderer font (`Gulmarg Nastaleeq` or `Afan Koshur Naksh`) \|
	\| `source_run_id` \| `string` \| Internal generation run identifier \|
	\| `image_path` \| `string` \| Source image path in the original generator volume \|
	\| `width` \| `int` \| Image width in pixels \|
	\| `height` \| `int` \| Image height in pixels \|
	\| `text_chars` \| `int` \| Label length in Unicode codepoints \|
	\| `line_count` \| `int` \| Number of lines in the label \|

	A per-row image `path` is also retained inside the image struct metadata for traceability. All configs use parquet row-group sizing with small groups and page-index metadata enabled for Dataset Viewer compatibility.

	## Usage

	Install the dependency:

	```bash
	pip install datasets
	```

	Load a single config:

	```python
	from datasets import load_dataset

	train = load_dataset("Omarrran/Koshur_Pixel", "sentence_line", split="train") # you can also use "paragraph" or "page" instead of "sentences"

	print(train.column_names)
	print(train[0]["text"])
	print(train[0]["image"].size)
	```

	Load the combined config:

	```python
	from datasets import load_dataset

	full = load_dataset("Omarrran/Koshur_Pixel", "full", split="train")
	print(len(full)) # 280657
	```

	Stream a config (recommended for the larger `paragraph` / `page` renders):

	```python
	from datasets import load_dataset

	ds = load_dataset(
	"Omarrran/Koshur_Pixel",
	name="paragraph",
	split="train",
	streaming=True,
	)

	for sample in ds:
	img = sample["image"]
	txt = sample["text"]
	# feed into OCR preprocessing / tokenizer pipeline
	```

	Inspect a row:

	```python
	print(mixed[0]["text"], mixed[0]["font_family"], mixed[0]["sample_type"])
	```

	### Loading each config

	```python
	from datasets import load_dataset

	mixed = load_dataset("Omarrran/Koshur_Pixel", "mixed", split="train")
	sentence_line = load_dataset("Omarrran/Koshur_Pixel", "sentence_line", split="train")
	paragraph = load_dataset("Omarrran/Koshur_Pixel", "paragraph", split="train")
	page = load_dataset("Omarrran/Koshur_Pixel", "page", split="train")
	full = load_dataset("Omarrran/Koshur_Pixel", "full", split="train")
	```

	## Recommended use cases

	- Fine-tuning image-to-text and OCR models such as TrOCR, Donut, BLIP-2, and PaliGemma-style decoders.
	- Pretraining or curriculum stages before introducing noisy scanned or photographed OCR corpora.
	- Evaluating normalization, decoding, and post-correction pipelines on Nastaliq scripts.
	- Prompting and benchmarking Kashmiri text understanding under controlled synthetic conditions.

	## Limitations and considerations

	- This is synthetic OCR data. Performance on font-rendered text does not guarantee performance on real scans, photographs, or handwriting — validate on in-domain data before any production deployment.
	- Only two fonts are represented in this release (`Gulmarg Nastaleeq`, `Afan Koshur Naksh`), so visual diversity is narrower than real-world print.
	- The `paragraph` and `page` configs contain long, multi-line labels and large images; always consume them through the `datasets` library rather than raw parsing.

	## License

	Released under Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0). You may copy and redistribute the dataset for any purpose with attribution, but you may not distribute modified versions.

	## Citation

	If you use this dataset, please cite it as a synthetic Kashmiri OCR resource and include the exact Hugging Face revision/SHA used:

	```bibtex
	@misc{koshur_pixel,
	title = {Koshur Pixel: A Synthetic OCR Dataset for Kashmiri},
	author = {Malik, Haq Nawaz , Nahfid Nissar, Faizan Iqbal},
	howpublished = {\url{https://arxiv.org/abs/2606.23144}},
	note = {Synthetic Nastaliq/Naksh-rendered image–text pairs. Cite the exact revision/SHA used.},
	year = {2026}
	}
	``