snats/clip-datacomp-models
Updated
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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 2 new columns ({'data_points', 'cluster_label'}) and 1 missing columns ({'distance'}).
This happened while the csv dataset builder was generating data using
hf://datasets/snats/datacomp_lists/filtered_high_value_data_minipile_style.csv (at revision d4639799bdade9bfabcd484218196e69d114cade)
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 1869, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
uid: string
data_points: string
cluster_label: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 614
to
{'uid': Value(dtype='string', id=None), 'distance': Value(dtype='float64', 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 1392, 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 1041, 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 999, 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 1740, 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 1871, 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 2 new columns ({'data_points', 'cluster_label'}) and 1 missing columns ({'distance'}).
This happened while the csv dataset builder was generating data using
hf://datasets/snats/datacomp_lists/filtered_high_value_data_minipile_style.csv (at revision d4639799bdade9bfabcd484218196e69d114cade)
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.
uid
string | distance
float64 |
|---|---|
f9a3cebe236a50f351fc5f05badfc1da
| 1.531697
|
6d147bb7fdf47436589c4932b0ac5152
| 1.513262
|
ec39249116bd5500fb5a9bf019ae38f5
| 1.505712
|
bacc5721a2a56f30b82769630c294b48
| 1.500551
|
46dc3613709b702441e39c2243e8636e
| 1.499014
|
2c5194180fdc7191f668b1940218c8ff
| 1.494036
|
083314a929b7857f191f49c036fca7f7
| 1.491354
|
d33b607edb71644c8f2a223a1d61e888
| 1.490318
|
7117dcc8fdd2af87a9820f6d31d124ec
| 1.490307
|
2ca4d471cb0885864b275179a9301e7e
| 1.488182
|
1ab43239f4395a9c87e102dd2f526a98
| 1.481829
|
1a1a97b7985d20e30728d65fe5f43f86
| 1.478141
|
60084ba19c1ba112c119a5daf3f549fd
| 1.477156
|
6d7f9dce7762d9d7a2b38fffc39b1098
| 1.476613
|
eae6e57ffb63715dc40e8cc6c977e9c6
| 1.476419
|
5ffcab7e6777f4e799129110c6fe2c5b
| 1.475223
|
4434e2e0411d5e0e49187b510c21c6e8
| 1.472353
|
2a25f27aaef1ac32706d7ad3e3e69f0f
| 1.471516
|
35783c80ae0a42a2178a49bc8ba3ab65
| 1.469138
|
663df67dc2ad4aba154d68e20446e660
| 1.468987
|
6d3d6f859d7ae6ddb9f5982ef475289b
| 1.468277
|
383fab25ed5a4538ecbfc7e16eb99fe0
| 1.468247
|
c8af166b15bb31d1e6403e0b3b8ce93f
| 1.464517
|
af43de758f22a65f2600967e6fbba952
| 1.463557
|
1cfb3e273d3d6dfce12cc084a75891a3
| 1.463507
|
6a218faba4498d16764a9962141dac72
| 1.462498
|
14f52dbdb4a3f9e2b8352d8f90a3acf3
| 1.46093
|
0b485541f5a8d645c7960718de605452
| 1.460177
|
65821129544e2d8970b023a7ec6f616e
| 1.459819
|
04e3430b41e40c3f507737b65ae0f815
| 1.459151
|
da2363b6d175c1b1b2d4a488d464a228
| 1.458583
|
db917d3b41a34fbc4f92888fac12d45d
| 1.457784
|
e9db14c98614cabaec400a118b2e3d44
| 1.457594
|
4746b55e6f8e9228c63918b282403731
| 1.456817
|
c5be644fc6fe7c52081fe7990714c6d1
| 1.456751
|
fe32f32244d6c2e7743a5b0485d5d69d
| 1.45503
|
16bacabad9e76d0e205acc8a886ca626
| 1.454745
|
a59b091cb2683cb176768a61ad43b206
| 1.453482
|
1a096b2482ec0a9a0d0201895b2e9842
| 1.453292
|
1ff4cbb8aecebaada45b926c273292a5
| 1.452762
|
e91512bfba1c7b528891774f09593d2d
| 1.452604
|
1ee0f5923f6c663c95025f149f619252
| 1.452191
|
151622bb634a70584f0afd7664675d44
| 1.452043
|
e12978ae36f800351e587a255a73d8b7
| 1.451476
|
4afa5f6f3e7fd86deddb2268ef0cf485
| 1.451367
|
b6fe1dae2bb3bbff813c8e5d59db09e5
| 1.451253
|
ce4cbbd726ba90158912462a05686fa9
| 1.450773
|
36c09f9a8a589be3f24e133654329769
| 1.450228
|
0c0cd64ef4482bffcb2b83a226236f54
| 1.449262
|
30df070a97ce56ba93b104f6f304bdf3
| 1.448634
|
ee9e82ee7fb68f35b0d6b16aa709df83
| 1.447898
|
be6e313e8fed4ae8952596f839b57666
| 1.447729
|
ed90f341c7df5ef284cc71c4f1037877
| 1.447376
|
209094170827abf806d7800b28e5ead1
| 1.446919
|
948fbdb7b5f8ac643634c62bbc18bbac
| 1.446858
|
3fdfc7d37e1a4a6ccac941a5653831e3
| 1.44671
|
416f2af7997d375fc1757df0fa8bec12
| 1.446239
|
5126f55c3c0dbfac79f7807b85e32fd2
| 1.445905
|
d6eefaaa0cfca4b291938abbbbd66507
| 1.445901
|
c34b458f68713834f9fd74ad77eb3a59
| 1.445831
|
6404db51cdfd3c4be3779a8678f746a5
| 1.445243
|
602b3cadc6fc1cc1ffe1b1c2952d905e
| 1.444892
|
d750bfac35ff3e897e83e7ee3e6e7d8e
| 1.444502
|
faab1717acf687f60b1b633228788861
| 1.444256
|
dc57f05e7b264b81c1a0d97397fb4321
| 1.44419
|
20cefab2de467c5a5f67ba108c5887f6
| 1.443861
|
ad21663ca36cdc1f438bc0a9f5298919
| 1.443738
|
3398fe2d47eee41c7ca4355c3282a5d6
| 1.442744
|
985c93784652330b9bd7c6ff79076aa1
| 1.442539
|
c2ae604dfa4ce18061b5c8c0e7b0a444
| 1.441934
|
bc0c0968d877ac74422c82c73ef82ed0
| 1.44187
|
259a57e43e683bf0f22adf704f14ab1e
| 1.441784
|
230925098f6294ca60ed0f9cb54a1614
| 1.441754
|
d5cda52f3ae501b89dbbca0f5fbcecb2
| 1.441395
|
31acb91d295f259aed90c125a2bebb1b
| 1.441394
|
4db0390c941912a56c62d022b65a02f1
| 1.44136
|
37bfb4578ea2bf37e591a78d126a9f96
| 1.441165
|
f05800664163742df22f64b9c3adb25e
| 1.441156
|
eba2ed1d4851ba4ac3b1e82a3056f8d6
| 1.43949
|
fcf26101169eb7a3335dfc8c2567e55a
| 1.43932
|
5bb5ebf16c246b0facda66a80dfd7d85
| 1.439258
|
fc2a66360b873626c9c97e0f76255d5d
| 1.439129
|
154cf3fd9532ea73dfd02b39ffb3e303
| 1.438921
|
6256826e3edf7f49518621c2b9486d85
| 1.438672
|
5218f4d20c813ce11d75bb75d7d988e5
| 1.438616
|
61232bca12d2807bd3f58cd260e5da10
| 1.437774
|
db608ca3b915f6ed9b823335790bd64b
| 1.437519
|
a6f575effdb413b3922f91910e4628e2
| 1.437473
|
41b1820de035ea2aeb15915aca0df33d
| 1.437356
|
d50edac513ddbda6f9b267787de37444
| 1.437142
|
bc333345c99171008c27c35f2c7660b8
| 1.436856
|
e53a6c2e53799965914cf5d6caec01fd
| 1.436841
|
0d2f7d0840860f96d41254647c997fec
| 1.436738
|
e3d2a228b622270fba2e0f03dae03565
| 1.435899
|
6b4db1f8e6b4f69df269956cdc8875f4
| 1.435636
|
fc22e0ed628a58ce3ab04d526bff56bb
| 1.435412
|
12460597d09c706616b05b264b980361
| 1.435224
|
1a8d966dd5bdd52a84a70e0cb910bf3d
| 1.434825
|
42a6edee609df7b8db5b0bb022f74ac7
| 1.434626
|
536545c774915b985d3cd2eaf9bf30d0
| 1.434014
|
End of preview.
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(https://huggingface.co/docs/hub/datasets-cards)
Data Comp Lists
This are all of the lists that I used on the blog post: "I want to break some laws too".
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Models trained or fine-tuned on snats/datacomp_lists