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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1520, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 130, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1382, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1560, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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null | shard_00000/104.png.tiles/chunk_0000_02 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
{
"articles": null,
"count": null,
"pid": null,
"started_at": null
} | shard_00000/104.png.tiles/chunks | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/104.png.tiles/tile_0000 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
{
"articles": null,
"count": null,
"pid": null,
"started_at": null
} | shard_00000/104.png.tiles/tiles | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/105.png.tiles/chunk_0000_00 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/105.png.tiles/chunk_0000_01 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/105.png.tiles/chunk_0000_02 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
{
"articles": null,
"count": null,
"pid": null,
"started_at": null
} | shard_00000/105.png.tiles/chunks | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/105.png.tiles/tile_0000 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
{
"articles": null,
"count": null,
"pid": null,
"started_at": null
} | shard_00000/105.png.tiles/tiles | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/106.png.tiles/chunk_0000_00 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/106.png.tiles/chunk_0000_01 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
{
"articles": null,
"count": null,
"pid": null,
"started_at": null
} | shard_00000/106.png.tiles/chunks | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/106.png.tiles/tile_0000 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
{
"articles": null,
"count": null,
"pid": null,
"started_at": null
} | shard_00000/106.png.tiles/tiles | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/115.png.tiles/chunk_0000_00 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/115.png.tiles/chunk_0000_01 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
{
"articles": null,
"count": null,
"pid": null,
"started_at": null
} | shard_00000/115.png.tiles/chunks | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/115.png.tiles/tile_0000 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
{
"articles": null,
"count": null,
"pid": null,
"started_at": null
} | shard_00000/115.png.tiles/tiles | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/116.png.tiles/chunk_0000_00 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/116.png.tiles/chunk_0000_01 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
{
"articles": null,
"count": null,
"pid": null,
"started_at": null
} | shard_00000/116.png.tiles/chunks | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/116.png.tiles/tile_0000 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
{
"articles": null,
"count": null,
"pid": null,
"started_at": null
} | shard_00000/116.png.tiles/tiles | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/117.png.tiles/chunk_0000_00 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
null | shard_00000/117.png.tiles/chunk_0000_01 | hf://datasets/StarTrail-org/pixelrag-tiles@84bc3285edf5b22fa73e39ea3b03f9d012181cbe/shard_000.tar |
End of preview.
PixelRAG tile corpus
Rendered screenshot tiles for PixelRAG, a visual retrieval-augmented-generation system that retrieves over page images instead of parsed text. Each Wikipedia page is rendered to an image and cut into fixed-height tiles; retrieval runs on the tiles directly with a Qwen3-VL embedding model.
This repository holds the full tile corpus that the published FAISS indexes and embeddings were built from, so the whole pipeline (tiles → embeddings → index → search) can be reproduced end to end.
- Code and paper: https://github.com/StarTrail-org/PixelRAG
- FAISS indexes: StarTrail-org/pixelrag-faiss-indexes
- Training sets: Chrisyichuan/screenshot-training and related
Layout
The corpus is split into 1000 shards, one tar each:
shard_000.tar … shard_999.tar
Each tar mirrors the source tree: shard_NNNNN/<article_id>.png.tiles/ containing chunk_*.webp (and per-page JSON metadata). Extract a shard with:
tar -xf shard_000.tar
Image format
Tiles are stored as lossless WebP. The encode is pixel-exact: decoding a .webp gives the same pixel array as the original PNG, so embeddings computed from these tiles match the published indexes. WebP is used because it is roughly 3x smaller than PNG on this screenshot content with no loss.
Load a tile like any image:
from PIL import Image
img = Image.open("shard_00000/12345.png.tiles/chunk_0000_00.webp").convert("RGB")
Article metadata
articles.json is a JSON list of Wikipedia article titles indexed by article id, so the integer in a tile path maps back to its article. For example articles[440010] == "2025_FIA_Formula_3_Championship", matching shard_NNNNN/440010.png.tiles/.
import json
articles = json.load(open("articles.json"))
title = articles[440010] # "2025_FIA_Formula_3_Championship"
Known corrupt tiles
A small number of source tiles (6425, about 0.03% of the corpus) are 0-byte files left by render failures, almost all in shard_091. They are kept as-is with their original .png name so the dataset matches the source exactly. Skip any 0-byte file when loading.
Citation
If you use this corpus, please cite the PixelRAG paper (see the GitHub repository).
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