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The dataset generation failed
Error code: DatasetGenerationError
Exception: HfHubHTTPError
Message: 416 Client Error: Requested Range Not Satisfiable for url: https://hf-hub-lfs-us-east-1.s3.us-east-1.amazonaws.com/repos/45/f2/45f25c46471020e57ec0fbeb7dfd3a56128d4eb7ceb825f24db001f7ffa05422/af4a559c5ad3b4293737ee1bbd877f8316cefa7f6b4362fc0f7786bd9a7996dd?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20250207%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250207T143104Z&X-Amz-Expires=3600&X-Amz-Signature=5eb6084babf1f49fed7707c3c86d95a11e04fece985c1c38d7025ebc670102af&X-Amz-SignedHeaders=host&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%270102.tar%3B%20filename%3D%220102.tar%22%3B&response-content-type=application%2Fx-tar&x-id=GetObject. Requested range: bytes=16056320-16097279. Content-Range: None.
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidRange</Code><Message>The requested range is not satisfiable</Message><RangeRequested>bytes=16056320-16097279</RangeRequested><ActualObjectSize>16056320</ActualObjectSize><RequestId>ZDTAW461XEKG2WG9</RequestId><HostId>EF+iVOLdCmHRcouGv5sYNubFL2t5GlYotBzBDBJL7YHgJEatq1PaAcvXaxbN8MxEuSgiOY4F5g4=</HostId></Error>
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 406, in hf_raise_for_status
response.raise_for_status()
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/models.py", line 1024, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 416 Client Error: Requested Range Not Satisfiable for url: https://hf-hub-lfs-us-east-1.s3.us-east-1.amazonaws.com/repos/45/f2/45f25c46471020e57ec0fbeb7dfd3a56128d4eb7ceb825f24db001f7ffa05422/af4a559c5ad3b4293737ee1bbd877f8316cefa7f6b4362fc0f7786bd9a7996dd?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20250207%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250207T143104Z&X-Amz-Expires=3600&X-Amz-Signature=5eb6084babf1f49fed7707c3c86d95a11e04fece985c1c38d7025ebc670102af&X-Amz-SignedHeaders=host&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%270102.tar%3B%20filename%3D%220102.tar%22%3B&response-content-type=application%2Fx-tar&x-id=GetObject
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1607, in _prepare_split_single
for key, record in generator:
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 689, in wrapped
for item in generator(*args, **kwargs):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 119, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 41, in _get_pipeline_from_tar
current_example[field_name.lower()] = f.read()
File "/usr/local/lib/python3.9/tarfile.py", line 688, in read
b = self.fileobj.read(length)
File "/usr/local/lib/python3.9/tarfile.py", line 525, in read
buf = self._read(size)
File "/usr/local/lib/python3.9/tarfile.py", line 533, in _read
return self.__read(size)
File "/usr/local/lib/python3.9/tarfile.py", line 563, in __read
buf = self.fileobj.read(self.bufsize)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 826, in read_with_retries
out = read(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 808, in track_read
out = f_read(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 757, in read
return super().read(length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 1846, in read
out = self.cache._fetch(self.loc, self.loc + length)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/caching.py", line 189, in _fetch
self.cache = self.fetcher(start, end) # new block replaces old
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 720, in _fetch_range
hf_raise_for_status(r)
File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 473, in hf_raise_for_status
raise _format(HfHubHTTPError, message, response) from e
huggingface_hub.errors.HfHubHTTPError: 416 Client Error: Requested Range Not Satisfiable for url: https://hf-hub-lfs-us-east-1.s3.us-east-1.amazonaws.com/repos/45/f2/45f25c46471020e57ec0fbeb7dfd3a56128d4eb7ceb825f24db001f7ffa05422/af4a559c5ad3b4293737ee1bbd877f8316cefa7f6b4362fc0f7786bd9a7996dd?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20250207%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20250207T143104Z&X-Amz-Expires=3600&X-Amz-Signature=5eb6084babf1f49fed7707c3c86d95a11e04fece985c1c38d7025ebc670102af&X-Amz-SignedHeaders=host&response-content-disposition=inline%3B%20filename%2A%3DUTF-8%27%270102.tar%3B%20filename%3D%220102.tar%22%3B&response-content-type=application%2Fx-tar&x-id=GetObject. Requested range: bytes=16056320-16097279. Content-Range: None.
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>InvalidRange</Code><Message>The requested range is not satisfiable</Message><RangeRequested>bytes=16056320-16097279</RangeRequested><ActualObjectSize>16056320</ActualObjectSize><RequestId>ZDTAW461XEKG2WG9</RequestId><HostId>EF+iVOLdCmHRcouGv5sYNubFL2t5GlYotBzBDBJL7YHgJEatq1PaAcvXaxbN8MxEuSgiOY4F5g4=</HostId></Error>
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 1415, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 991, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1486, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1643, 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.
__key__
string | __url__
string | caption
unknown |
|---|---|---|
1000 | hf://datasets/6DammK9/danbooru2023-captions-1ktar@efcc3970a48c6a7ef518dde864bc68a2ec26758a/captions/0000.tar | [
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End of preview.
Danbooru 2023 captions only in 1k tar
Raw captions jointed by unpublished extended dataset from KBlueLeaf/danbooru2023-metadata-database
It aligns to nyanko7/danbooru2023. There are around 200k missing for the 2024 version, I'll try to use Minthy/ToriiGate-v0.4-7B to fill in the rest.
meta_cap.jsonhas been provided in compressed format if you want to train with kohyas triner. Currently I'm trying to merge this with my 2024 version.
Core logic
Artist and character first. Others can rely on pretrained knowledge. No fancy "quality" score for pretraining focused dataset.
rearranged_tags = [row.phi3v_horny, row.pixtral_caption, row.florence_short, row.florence_long]
must_exist = [tag for tag in rearranged_tags if tag]
tag = " ".join(must_exist)
How to build the "dataset" with speed
Refer to the tags-1ktar repo.
This repo is still in develeopment. My current task of building the dataset for "pretraining".
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