snats/clip-datacomp-models
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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.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(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