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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError Exception: DatasetGenerationCastError Message: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 10 new columns ({'model', 'name', 'files', 'downloadUrl', 'images', 'createdAt', 'downloadCount', 'id', 'modelId', 'trainedWords'}) and 3 missing columns ({'checkpoint', 'lora', 'embedding'}). This happened while the json dataset builder was generating data using hf://datasets/nsfwalex/checkpoint_n_lora/lora/pony/style/DuaLipa.json (at revision 4aba7e893d93f9c5548c8a76cc8d8762cf9110db) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations) Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast id: int64 modelId: int64 name: string createdAt: string downloadUrl: string trainedWords: list<item: string> child 0, item: string model: struct<name: string, type: string, nsfw: bool> child 0, name: string child 1, type: string child 2, nsfw: bool files: list<item: struct<id: int64, sizeKB: double, name: string, type: string, pickleScanResult: string, pickleScanMessage: string, virusScanResult: string, virusScanMessage: null, scannedAt: string, metadata: struct<format: string>, hashes: struct<AutoV1: string, AutoV2: string, SHA256: string, CRC32: string, BLAKE3: string, AutoV3: string>, downloadUrl: string, primary: bool>> child 0, item: struct<id: int64, sizeKB: double, name: string, type: string, pickleScanResult: string, pickleScanMessage: string, virusScanResult: string, virusScanMessage: null, scannedAt: string, metadata: struct<format: string>, hashes: struct<AutoV1: string, AutoV2: string, SHA256: string, CRC32: string, BLAKE3: string, AutoV3: string>, downloadUrl: string, primary: bool> child 0, id: int64 child 1, sizeKB: double child 2, name: string child 3, type: string child 4, pickleScanResult: string child 5, pickleScanMessage: string child 6, virusScanResult: string child 7, virusScanMessage: null child 8, scannedAt: string child 9, metadata: struct<format: string> child 0, format: string child 10, hashes: struct<AutoV1: string, AutoV2: string, SHA256: string, CRC32: string, BLAKE3: string, AutoV3: string> child 0, AutoV1: string child 1, AutoV2: string child 2, SHA256: string child 3, CRC32: string child 4, BLAKE3: string child 5, AutoV3: string child 11, downloadUrl: string child 12, primary: bool images: list<item: struct<url: string, nsfwLevel: int64, width: int64, height: int64, hash: string, type: string, hasMeta: bool, onSite: bool>> child 0, item: struct<url: string, nsfwLevel: int64, width: int64, height: int64, hash: string, type: string, hasMeta: bool, onSite: bool> child 0, url: string child 1, nsfwLevel: int64 child 2, width: int64 child 3, height: int64 child 4, hash: string child 5, type: string child 6, hasMeta: bool child 7, onSite: bool downloadCount: int64 to {'checkpoint': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None), 'lora': [{'name': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'attr': {'trigger_words': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'base_model': Value(dtype='string', id=None)}}], 'embedding': Sequence(feature=Value(dtype='null', id=None), length=-1, id=None)} because column names don't match During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1396, 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 1045, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2015, in _prepare_split_single raise DatasetGenerationCastError.from_cast_error( datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 10 new columns ({'model', 'name', 'files', 'downloadUrl', 'images', 'createdAt', 'downloadCount', 'id', 'modelId', 'trainedWords'}) and 3 missing columns ({'checkpoint', 'lora', 'embedding'}). This happened while the json dataset builder was generating data using hf://datasets/nsfwalex/checkpoint_n_lora/lora/pony/style/DuaLipa.json (at revision 4aba7e893d93f9c5548c8a76cc8d8762cf9110db) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
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checkpoint
sequence | lora
list | embedding
sequence | id
int64 | modelId
int64 | name
string | createdAt
string | downloadUrl
string | trainedWords
sequence | model
dict | files
list | images
list | downloadCount
int64 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
[] | [
{
"name": "jima-artist-pony-pony",
"path": "./lora/pony/style/pony_JIMA-000020.safetensors",
"type": "lora",
"attr": {
"trigger_words": [
"artist jima",
"shiny skin",
"muscular ( PLEASE ADD THIS TO NEGATIVE PROMPT)"
],
"base_model": ""
}
},
{
"name": "dua-lipa-artists-lora-pony-xl-v1-0",
"path": "./lora/pony/style/DuaLipa.safetensors",
"type": "lora",
"attr": {
"trigger_words": [
"DuaLipa"
],
"base_model": ""
}
}
] | [] | null | null | null | null | null | null | null | null | null | null |
null | null | null | 731,228 | 653,602 | v1.0 | 2024-08-17T00:37:14.317Z | https://civitai.com/api/download/models/731228 | [
"DuaLipa"
] | {
"name": "Dua Lipa - Artists Lora (Pony XL)",
"type": "LORA",
"nsfw": false
} | [
{
"id": 645353,
"sizeKB": 56079.05859375,
"name": "DuaLipa.safetensors",
"type": "Model",
"pickleScanResult": "Success",
"pickleScanMessage": "No Pickle imports",
"virusScanResult": "Success",
"virusScanMessage": null,
"scannedAt": "2024-08-17T00:48:32.025Z",
"metadata": {
"format": "SafeTensor"
},
"hashes": {
"AutoV1": "8E3BE721",
"AutoV2": "58887D8E48",
"SHA256": "58887D8E48644B2621ABEA67384C5A2810CB81DAC582BCFFFE81D07FC2EFB99B",
"CRC32": "B7B8EF20",
"BLAKE3": "53D20515CE01A9012B755D408624DD9E09B4DC2DD27BACCA50EC89E272817159",
"AutoV3": "90EA6D8356CA"
},
"downloadUrl": "https://civitai.com/api/download/models/731228",
"primary": true
}
] | [
{
"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/17c201bf-94cf-493d-af01-820605faabf9/width=450/24669407.jpeg",
"nsfwLevel": 1,
"width": 768,
"height": 1024,
"hash": "UaHK@IX8_Ns:.8s:-;j]kWs:s.Wq_3ay%Me.",
"type": "image",
"hasMeta": false,
"onSite": false
},
{
"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9f9af282-a102-40c0-b9a3-95958f16a0be/width=450/24669404.jpeg",
"nsfwLevel": 1,
"width": 768,
"height": 1024,
"hash": "UnI56_WB_Nxu_3ay%MofS$jZRPj[-;WBoLof",
"type": "image",
"hasMeta": false,
"onSite": false
},
{
"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4c383b58-8c8d-4672-9c39-71704f743053/width=450/24669409.jpeg",
"nsfwLevel": 1,
"width": 768,
"height": 1024,
"hash": "UYLMn,,??^W=?]TIX9t7_3jFWCRj.9WXxat7",
"type": "image",
"hasMeta": false,
"onSite": false
},
{
"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f45d5e70-1d81-4338-80ca-59cb67088b0c/width=450/24669406.jpeg",
"nsfwLevel": 1,
"width": 768,
"height": 1024,
"hash": "UcF=2Sxa?cxG~pWB%gR*yDay%2R*x]t7xaof",
"type": "image",
"hasMeta": false,
"onSite": false
}
] | 113 |
null | null | null | 502,060 | 450,921 | pony | 2024-05-12T14:39:50.069Z | https://civitai.com/api/download/models/502060 | [
"artist jima",
"shiny skin",
"muscular ( PLEASE ADD THIS TO NEGATIVE PROMPT)"
] | {
"name": "JIMA (artist) Pony",
"type": "LORA",
"nsfw": false
} | [
{
"id": 419681,
"sizeKB": 223117.20703125,
"name": "pony_JIMA-000020.safetensors",
"type": "Model",
"pickleScanResult": "Success",
"pickleScanMessage": "No Pickle imports",
"virusScanResult": "Success",
"virusScanMessage": null,
"scannedAt": "2024-05-12T14:45:58.065Z",
"metadata": {
"format": "SafeTensor"
},
"hashes": {
"AutoV1": "D8B11E91",
"AutoV2": "43BA1E8A3B",
"SHA256": "43BA1E8A3BC73A125DFB7518AD5F50A1FFFCE77CD173AC58FA9C9E49799BE323",
"CRC32": "3D3D2A9E",
"BLAKE3": "D1EE4B5E32552B718826A79F7A8D90E8AD077FD8E995D5A2692FB1AAB1699E79",
"AutoV3": "EC9BE5341FA2"
},
"downloadUrl": "https://civitai.com/api/download/models/502060",
"primary": true
}
] | [
{
"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a4e6fe0c-b5e4-4a31-9359-24bf7c025107/width=450/12256929.jpeg",
"nsfwLevel": 4,
"width": 832,
"height": 1216,
"hash": "UALXV;wI3Z%MW2-A-=?^5=OF9Z^*J=?EE1EL",
"type": "image",
"hasMeta": true,
"onSite": false
},
{
"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/29e40377-2dd4-483d-8ae9-d0ec1c9ac603/width=450/12257241.jpeg",
"nsfwLevel": 8,
"width": 832,
"height": 1216,
"hash": "UKNAJ49a0h^%ElM{9F$$NaIAMxo}~pxu%MkC",
"type": "image",
"hasMeta": true,
"onSite": false
},
{
"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f76da8b5-84f9-43e7-a15f-bcf15bede86b/width=450/12256792.jpeg",
"nsfwLevel": 8,
"width": 832,
"height": 1216,
"hash": "UBLW-L~p0gRQ000LD%-p0KRO-p%M-ot7^+%L",
"type": "image",
"hasMeta": true,
"onSite": false
},
{
"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/15185b0f-3232-4772-844d-62bfd4c65a5d/width=450/12256903.jpeg",
"nsfwLevel": 4,
"width": 832,
"height": 1216,
"hash": "UGLz:S~qpd-qD*Y5R.rr0fRPRPt7wy%1xu%M",
"type": "image",
"hasMeta": true,
"onSite": false
},
{
"url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/45e107f6-126b-4766-9838-2948f1a544d1/width=450/12256698.jpeg",
"nsfwLevel": 8,
"width": 832,
"height": 1216,
"hash": "U9M%izMe00_2y=0LM^nm9%DjVa-;NF%LVXMw",
"type": "image",
"hasMeta": true,
"onSite": false
}
] | 1,249 |
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