The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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