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The dataset generation failed
Error code: DatasetGenerationError Exception: TypeError Message: Couldn't cast array of type struct<Size: string, seed: int64, Model: string, steps: int64, prompt: string, sampler: string, cfgScale: int64, resources: list<item: struct<name: string, type: string, weight: int64, hash: string>>, Model hash: string, negativePrompt: string> to {'ENSD': Value(dtype='string', id=None), 'Size': Value(dtype='string', id=None), 'seed': Value(dtype='int64', id=None), 'steps': Value(dtype='int64', id=None), 'prompt': Value(dtype='string', id=None), 'sampler': Value(dtype='string', id=None), 'cfgScale': Value(dtype='int64', id=None), 'Clip skip': Value(dtype='string', id=None), 'resources': [{'name': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'weight': Value(dtype='float64', id=None)}], 'Model hash': Value(dtype='string', id=None), 'Hires steps': Value(dtype='string', id=None), 'Hires upscale': Value(dtype='string', id=None), 'Hires upscaler': Value(dtype='string', id=None), 'negativePrompt': Value(dtype='string', id=None), 'Denoising strength': Value(dtype='string', id=None)} Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema arrays = [ File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp> cast_array_to_feature( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp> return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2108, in cast_array_to_feature raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}") TypeError: Couldn't cast array of type struct<Size: string, seed: int64, Model: string, steps: int64, prompt: string, sampler: string, cfgScale: int64, resources: list<item: struct<name: string, type: string, weight: int64, hash: string>>, Model hash: string, negativePrompt: string> to {'ENSD': Value(dtype='string', id=None), 'Size': Value(dtype='string', id=None), 'seed': Value(dtype='int64', id=None), 'steps': Value(dtype='int64', id=None), 'prompt': Value(dtype='string', id=None), 'sampler': Value(dtype='string', id=None), 'cfgScale': Value(dtype='int64', id=None), 'Clip skip': Value(dtype='string', id=None), 'resources': [{'name': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'weight': Value(dtype='float64', id=None)}], 'Model hash': Value(dtype='string', id=None), 'Hires steps': Value(dtype='string', id=None), 'Hires upscale': Value(dtype='string', id=None), 'Hires upscaler': Value(dtype='string', id=None), 'negativePrompt': Value(dtype='string', id=None), 'Denoising strength': Value(dtype='string', id=None)} 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 1417, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1897, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
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id
int64 | url
string | hash
string | width
int64 | height
int64 | nsfwLevel
string | type
string | nsfw
bool | browsingLevel
int64 | createdAt
string | postId
int64 | stats
dict | meta
dict | username
string | baseModel
string |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
107,787 | UKGIl,^%4;NI%%T0I[xV8w-;-oxXROIoMwtS | 896 | 1,536 | None | image | false | 1 | 2023-09-22T23:27:14.868Z | 86,618 | {
"cryCount": 32,
"laughCount": 47,
"likeCount": 807,
"dislikeCount": 0,
"heartCount": 754,
"commentCount": 10
} | {
"ENSD": "31337",
"Size": "448x768",
"seed": 716865729,
"steps": 20,
"prompt": "<lora:koreanDollLikeness_v10:0.3>,<lora:taiwanDollLikeness_v10:0.2>(8k, RAW photo, best quality, masterpiece:1.2), (realistic, photo-realistic:1.37), ultra-detailed,\n1 girl,cute, solo,beautiful detailed sky,detailed cafe,night,sitting,dating,(nose blush),(smile:1.1),(closed mouth)\nmedium breasts,beautiful detailed eyes,(collared shirt:1.1), bowtie,pleated skirt,(short hair:1.2),floating hair",
"sampler": "DPM++ 2M Karras",
"cfgScale": 7,
"Clip skip": "2",
"resources": [
{
"name": "koreanDollLikeness_v10",
"type": "lora",
"weight": 0.3
},
{
"name": "taiwanDollLikeness_v10",
"type": "lora",
"weight": 0.2
}
],
"Model hash": "7234b76e42",
"Hires steps": "15",
"Hires upscale": "2",
"Hires upscaler": "Latent (nearest)",
"negativePrompt": "EasyNegative, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer fingers,((watermark:2)),((white letters:1))",
"Denoising strength": "0.7"
} | Bocchi138 | SD 1.5 |
|
163,560 | UHFrku}?4.0L01bw9YozIUM|?Hr?9ZIUxvxu | 1,513 | 1,840 | None | image | false | 1 | 2023-09-22T23:30:52.087Z | 94,453 | {
"cryCount": 75,
"laughCount": 134,
"likeCount": 1334,
"dislikeCount": 0,
"heartCount": 1101,
"commentCount": 15
} | {
"Size": "704x856",
"seed": 762635564,
"Model": "mix",
"steps": 30,
"prompt": "realistic, portrait of a girl,AI language model, silver hair,,question answering,smart, kind, energetic, cheerful, creative, with sparkling eyes and a contagious smile, ,information providing, conversation engaging, wide range of topics, accurate responses, helpful responses, knowledgeable, reliable, friendly, intelligent,sleek and futuristic design elements, and a complex network of circuits and processors. Others may imagine me as a friendly and approachable virtual assistant, with a smiling avatar or animated character representing me on their screen. Still, others may envision me as a disembodied voice, speaking from an unseen source, providing helpful and informative responses with a calm and reassuring tone",
"sampler": "DPM++ SDE Karras",
"cfgScale": 7,
"resources": [
{
"name": "talanXzh",
"type": "lora",
"weight": 1,
"hash": null
},
{
"name": "mix",
"type": "model",
"weight": null,
"hash": "9519952d49"
}
],
"Model hash": "9519952d49",
"negativePrompt": "(((sexy))),paintings,loli,,big head,sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, nsfw, nipples,extra fingers, ((extra arms)), (extra legs), mutated hands, (fused fingers), (too many fingers), (long neck:1.3)"
} | karius828 | SD 1.5 |
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