id
int64 953M
3.35B
| number
int64 2.72k
7.75k
| title
stringlengths 1
290
| state
stringclasses 2
values | created_at
timestamp[s]date 2021-07-26 12:21:17
2025-08-23 00:18:43
| updated_at
timestamp[s]date 2021-07-26 13:27:59
2025-08-23 12:34:39
| closed_at
timestamp[s]date 2021-07-26 13:27:59
2025-08-20 16:35:55
⌀ | html_url
stringlengths 49
51
| pull_request
dict | user_login
stringlengths 3
26
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bool 2
classes | comments
listlengths 0
30
|
|---|---|---|---|---|---|---|---|---|---|---|---|
2,905,543,017
| 7,442
|
Flexible Loader
|
open
| 2025-03-09T16:55:03
| 2025-03-27T23:58:17
| null |
https://github.com/huggingface/datasets/issues/7442
| null |
dipta007
| false
|
[
"Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?",
"> Ideally `save_to_disk` should save in a format compatible with load_dataset, wdyt ?\n\nThat would be perfect if not at least a flexible loader.",
"@lhoestq For now, you can use this small utility library: [nanoml](https://pypi.org/project/nanoml/)\n```python\nfrom nanoml.data import load_dataset_flexible\n```\n\nI actively develop and maintain this utility library. Open to contributors. Please open issues, PR, or feature requests."
] |
2,904,702,329
| 7,441
|
`drop_last_batch` does not drop the last batch using IterableDataset + interleave_datasets + multi_worker
|
open
| 2025-03-08T10:28:44
| 2025-03-09T21:27:33
| null |
https://github.com/huggingface/datasets/issues/7441
| null |
memray
| false
|
[
"Hi @memray, I’d like to help fix the issue with `drop_last_batch` not working when `num_workers > 1`. I’ll investigate and propose a solution. Thanks!\n",
"Thank you very much for offering to help! I also noticed a problem related to a previous issue and left a comment [here](https://github.com/huggingface/datasets/issues/6565#issuecomment-2708169303) (the code checks the validity before certain columns removed). Can you take a look as well?"
] |
2,903,740,662
| 7,440
|
IterableDataset raises FileNotFoundError instead of retrying
|
open
| 2025-03-07T19:14:18
| 2025-07-22T08:15:44
| null |
https://github.com/huggingface/datasets/issues/7440
| null |
bauwenst
| false
|
[
"I have since been training more models with identical architectures over the same dataset, and it is completely unstable. One has now failed at chunk9/1215, whilst others have gotten past that.\n```python\nFileNotFoundError: zstd://example_train_1215.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk9/example_train_1215.jsonl.zst\n```\nBelow is the full training log, where you can clearly see the intermittent dataset issues. Note again that this model only got to epoch 0.11, whereas I have other models training on the exact same dataset right now that have gotten way beyond that. This is quickly turning into a highly expensive bug which I didn't have issues with in the past half year of using the same setup.\n<details>\n<summary>Training log of failed run</summary>\n\n```python\n 1%| | 64/8192 [56:27<87:25:33, 38.72s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: 5ef28452-e903-4bd8-946d-f0c77f558a2a)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk5/example_holdout_4799.jsonl.zst\n 1%| | 64/8192 [56:51<87:25:33, 38.72s/it]Retrying in 1s [Retry 1/5].\n 2%|▏ | 192/8192 [2:40:14<85:29:44, 38.47s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: ba6e4c51-f4a4-407e-9934-3772550b7ce9)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk1/example_holdout_2770.jsonl.zst\n 2%|▏ | 192/8192 [2:40:53<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].\n 2%|▏ | 192/8192 [2:40:53<85:29:44, 38.47s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: bdf2cfaa-7e0b-46a0-bec1-b1e573fa7998)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk4/example_holdout_4386.jsonl.zst\n 2%|▏ | 192/8192 [2:42:16<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].\n 2%|▏ | 192/8192 [2:42:16<85:29:44, 38.47s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: 1dc5e455-8042-4c7b-9b97-5ded33dfea34)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk1/example_holdout_1763.jsonl.zst\n 2%|▏ | 192/8192 [2:42:30<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].\n 2%|▏ | 192/8192 [2:42:30<85:29:44, 38.47s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: 9cf29917-8111-41fe-80aa-953df65c5803)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk4/example_holdout_5509.jsonl.zst\n 2%|▏ | 192/8192 [2:44:31<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].\n 2%|▏ | 192/8192 [2:44:31<85:29:44, 38.47s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: 2515a0b0-3d81-409f-940c-e78ed5e2dbf8)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk4/example_holdout_3093.jsonl.zst\n 2%|▏ | 192/8192 [2:45:13<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].\n 2%|▏ | 192/8192 [2:45:13<85:29:44, 38.47s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: a4c1e0c7-1c7a-4377-bc7e-6f076473072b)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk4/example_holdout_3422.jsonl.zst\n 2%|▏ | 192/8192 [2:46:26<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].\n 2%|▏ | 192/8192 [2:46:26<85:29:44, 38.47s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: c7b0d366-db86-4d0c-a4e0-be251d26519e)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk3/example_holdout_2250.jsonl.zst\n 2%|▏ | 192/8192 [2:47:24<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].\n 2%|▏ | 192/8192 [2:47:24<85:29:44, 38.47s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: b0df5a1a-4836-46cf-8e45-58a7c1553309)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk3/example_holdout_6161.jsonl.zst\n 2%|▏ | 192/8192 [2:49:10<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].\n 2%|▏ | 192/8192 [2:49:10<85:29:44, 38.47s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: c1d97368-c0ae-45bb-ae10-5559b3ebc4e4)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk3/example_holdout_5782.jsonl.zst\n 2%|▏ | 192/8192 [2:49:30<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].\n{'eval_loss': 10.482319831848145, 'eval_runtime': 902.7516, 'eval_samples_per_second': 18.149, 'eval_steps_per_second': 0.142, 'epoch': 0, 'num_input_tokens_seen': 0}\n{'loss': 10.4895, 'grad_norm': 2.9147818088531494, 'learning_rate': 3.90625e-06, 'epoch': 0.0, 'num_input_tokens_seen': 1048576}\n{'loss': 10.4832, 'grad_norm': 2.8206892013549805, 'learning_rate': 7.8125e-06, 'epoch': 0.0, 'num_input_tokens_seen': 2097152}\n{'loss': 10.4851, 'grad_norm': 2.910552978515625, 'learning_rate': 1.171875e-05, 'epoch': 0.0, 'num_input_tokens_seen': 3145728}\n{'loss': 10.486, 'grad_norm': 2.8042073249816895, 'learning_rate': 1.5625e-05, 'epoch': 0.0, 'num_input_tokens_seen': 4194304}\n{'loss': 10.4719, 'grad_norm': 2.83260440826416, 'learning_rate': 1.953125e-05, 'epoch': 0.0, 'num_input_tokens_seen': 5242880}\n{'loss': 10.4482, 'grad_norm': 2.916527032852173, 'learning_rate': 2.34375e-05, 'epoch': 0.0, 'num_input_tokens_seen': 6291456}\n{'loss': 10.4113, 'grad_norm': 2.911870241165161, 'learning_rate': 2.734375e-05, 'epoch': 0.0, 'num_input_tokens_seen': 7340032}\n{'loss': 10.3863, 'grad_norm': 2.8873367309570312, 'learning_rate': 3.125e-05, 'epoch': 0.0, 'num_input_tokens_seen': 8388608}\n{'loss': 10.3557, 'grad_norm': 2.7183432579040527, 'learning_rate': 3.5156250000000004e-05, 'epoch': 0.0, 'num_input_tokens_seen': 9437184}\n{'loss': 10.2795, 'grad_norm': 2.6743927001953125, 'learning_rate': 3.90625e-05, 'epoch': 0.0, 'num_input_tokens_seen': 10485760}\n{'loss': 10.2148, 'grad_norm': 2.3173940181732178, 'learning_rate': 4.296875e-05, 'epoch': 0.0, 'num_input_tokens_seen': 11534336}\n{'loss': 10.1482, 'grad_norm': 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'num_input_tokens_seen': 51380224}\n{'loss': 7.8444, 'grad_norm': 1.0608373880386353, 'learning_rate': 0.0001953125, 'epoch': 0.01, 'num_input_tokens_seen': 52428800}\n{'loss': 7.7794, 'grad_norm': 1.0165436267852783, 'learning_rate': 0.00019921875000000001, 'epoch': 0.01, 'num_input_tokens_seen': 53477376}\n{'loss': 7.7567, 'grad_norm': 0.8742461204528809, 'learning_rate': 0.00020312500000000002, 'epoch': 0.01, 'num_input_tokens_seen': 54525952}\n{'loss': 7.6489, 'grad_norm': 0.8699902296066284, 'learning_rate': 0.00020703125, 'epoch': 0.01, 'num_input_tokens_seen': 55574528}\n{'loss': 7.6062, 'grad_norm': 0.809831440448761, 'learning_rate': 0.0002109375, 'epoch': 0.01, 'num_input_tokens_seen': 56623104}\n{'loss': 7.5511, 'grad_norm': 0.7423847317695618, 'learning_rate': 0.00021484375, 'epoch': 0.01, 'num_input_tokens_seen': 57671680}\n{'loss': 7.4435, 'grad_norm': 0.7614696025848389, 'learning_rate': 0.00021875, 'epoch': 0.01, 'num_input_tokens_seen': 58720256}\n{'loss': 7.564, 'grad_norm': 0.5147746801376343, 'learning_rate': 0.00022265625, 'epoch': 0.01, 'num_input_tokens_seen': 59768832}\n{'loss': 7.5278, 'grad_norm': 0.4705545902252197, 'learning_rate': 0.0002265625, 'epoch': 0.01, 'num_input_tokens_seen': 60817408}\n{'loss': 7.5479, 'grad_norm': 0.3745419979095459, 'learning_rate': 0.00023046875000000001, 'epoch': 0.01, 'num_input_tokens_seen': 61865984}\n{'loss': 7.4759, 'grad_norm': 0.3893500566482544, 'learning_rate': 0.000234375, 'epoch': 0.01, 'num_input_tokens_seen': 62914560}\n{'loss': 7.5032, 'grad_norm': 0.31959569454193115, 'learning_rate': 0.00023828125, 'epoch': 0.01, 'num_input_tokens_seen': 63963136}\n{'loss': 7.421, 'grad_norm': 0.3203206956386566, 'learning_rate': 0.0002421875, 'epoch': 0.01, 'num_input_tokens_seen': 65011712}\n{'loss': 7.4998, 'grad_norm': 0.2730390429496765, 'learning_rate': 0.00024609375, 'epoch': 0.01, 'num_input_tokens_seen': 66060288}\n{'loss': 7.4157, 'grad_norm': 0.34872403740882874, 'learning_rate': 0.00025, 'epoch': 0.01, 'num_input_tokens_seen': 67108864}\n[2025-03-10 16:17:04 WARNING] '(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. 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'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. 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timed out. (read timeout=10)\"), '(Request ID: 0faae356-e828-4cff-9a49-42b397431927)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk4/example_holdout_185.jsonl.zst\n 9%|▊ | 704/8192 [9:38:28<79:08:04, 38.05s/it]Retrying in 1s [Retry 1/5].\n 9%|▊ | 704/8192 [9:38:28<79:08:04, 38.05s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: 9557423f-6937-4f70-b50f-05b0c01f5bf3)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk4/example_holdout_4035.jsonl.zst\n 9%|▊ | 704/8192 [9:44:58<79:08:04, 38.05s/it]Retrying in 1s [Retry 1/5].\n 10%|█ | 832/8192 [11:28:20<80:32:25, 39.39s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: 939d1d36-c607-4d3c-a0a0-8e447579340b)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk3/example_holdout_165.jsonl.zst\n 10%|█ | 832/8192 [11:30:25<80:32:25, 39.39s/it]Retrying in 1s [Retry 1/5].\n 10%|█ | 832/8192 [11:30:25<80:32:25, 39.39s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: 0b99bfd1-07ae-46db-81fa-fc6ef0eabdbc)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk3/example_holdout_1529.jsonl.zst\n 10%|█ | 832/8192 [11:38:24<80:32:25, 39.39s/it]Retrying in 1s [Retry 1/5].\n 10%|█ | 832/8192 [11:38:24<80:32:25, 39.39s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: c208d1bb-5d13-45d2-9a01-1d5a2defa598)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk5/example_holdout_4562.jsonl.zst\n 10%|█ | 832/8192 [11:39:58<80:32:25, 39.39s/it]Retrying in 1s [Retry 1/5].\n 10%|█ | 832/8192 [11:39:58<80:32:25, 39.39s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: 2bf98b5c-473b-4e00-aca2-b152efddb992)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk3/example_holdout_4414.jsonl.zst\n 10%|█ | 832/8192 [11:41:00<80:32:25, 39.39s/it]Retrying in 1s [Retry 1/5].\n 11%|█ | 896/8192 [12:24:54<77:09:28, 38.07s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: 3b8321b9-2d88-4bfa-9eca-b201c444cba3)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk5/example_holdout_405.jsonl.zst\n 11%|█ | 896/8192 [12:25:55<77:09:28, 38.07s/it]Retrying in 1s [Retry 1/5].\n 11%|█ | 896/8192 [12:25:55<77:09:28, 38.07s/it]'(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. 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'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 918552576}\n{'loss': 2.8372, 'grad_norm': 0.3432702422142029, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 919601152}\n{'loss': 2.5638, 'grad_norm': 0.3493041396141052, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 920649728}\n{'loss': 2.8759, 'grad_norm': 0.3401539623737335, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 921698304}\n{'loss': 3.0048, 'grad_norm': 0.4632040858268738, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 922746880}\n{'loss': 2.9394, 'grad_norm': 0.4968065023422241, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 923795456}\n{'loss': 2.8441, 'grad_norm': 0.5426673889160156, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 924844032}\n{'loss': 2.9975, 'grad_norm': 0.4630672037601471, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 925892608}\n{'loss': 2.9584, 'grad_norm': 0.38806748390197754, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 926941184}\n{'loss': 2.8904, 'grad_norm': 0.39797642827033997, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 927989760}\n{'loss': 2.5774, 'grad_norm': 0.4063512980937958, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 929038336}\n{'loss': 2.812, 'grad_norm': 0.3161136209964752, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 930086912}\n{'loss': 2.7483, 'grad_norm': 0.3628361225128174, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 931135488}\n{'loss': 2.7916, 'grad_norm': 0.37376269698143005, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 932184064}\n{'loss': 2.7985, 'grad_norm': 0.3399117887020111, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 933232640}\n{'loss': 2.7107, 'grad_norm': 0.3453179597854614, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 934281216}\n{'loss': 2.9254, 'grad_norm': 0.39461833238601685, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 935329792}\n{'loss': 2.8487, 'grad_norm': 0.3668413460254669, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 936378368}\n{'loss': 2.7928, 'grad_norm': 0.28304487466812134, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 937426944}\n{'loss': 2.8503, 'grad_norm': 0.35816267132759094, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 938475520}\n{'loss': 3.0328, 'grad_norm': 0.3540339469909668, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 939524096}\n[2025-03-11 03:46:08 WARNING] '(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: 3b8321b9-2d88-4bfa-9eca-b201c444cba3)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk5/example_holdout_405.jsonl.zst\n[2025-03-11 03:46:08 WARNING] Retrying in 1s [Retry 1/5].\n[2025-03-11 03:53:27 WARNING] '(ReadTimeoutError(\"HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)\"), '(Request ID: a98a238a-c0a4-4295-8502-316a89a7ae29)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk1/example_holdout_2524.jsonl.zst\n[2025-03-11 03:53:27 WARNING] Retrying in 1s [Retry 1/5].\n{'eval_loss': 2.7651162147521973, 'eval_runtime': 687.962, 'eval_samples_per_second': 23.815, 'eval_steps_per_second': 0.186, 'epoch': 0.11, 'num_input_tokens_seen': 939524096}\n{'loss': 2.9368, 'grad_norm': 0.34962671995162964, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 940572672}\n{'loss': 2.3627, 'grad_norm': 0.37516310811042786, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 941621248}\n{'loss': 2.8854, 'grad_norm': 0.3487492501735687, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 942669824}\n{'loss': 2.7892, 'grad_norm': 0.37180987000465393, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 943718400}\n{'loss': 2.8067, 'grad_norm': 0.3387952744960785, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 944766976}\n{'loss': 2.841, 'grad_norm': 0.32076528668403625, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 945815552}\n{'loss': 2.7965, 'grad_norm': 0.3348572552204132, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 946864128}\n{'loss': 2.6788, 'grad_norm': 0.3531329929828644, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 947912704}\n{'loss': 2.7276, 'grad_norm': 0.300353467464447, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 948961280}\n{'loss': 2.8189, 'grad_norm': 0.3258875012397766, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 950009856}\n{'loss': 2.8388, 'grad_norm': 0.3434987962245941, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 951058432}\n{'loss': 2.856, 'grad_norm': 0.33045029640197754, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 952107008}\n{'loss': 2.658, 'grad_norm': 0.34896957874298096, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 953155584}\n{'loss': 2.8484, 'grad_norm': 0.3819083273410797, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 954204160}\n{'loss': 2.8402, 'grad_norm': 0.39541998505592346, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 955252736}\n{'loss': 2.8281, 'grad_norm': 0.3843367397785187, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 956301312}\n{'loss': 2.8339, 'grad_norm': 0.4067714214324951, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 957349888}\n{'loss': 2.8693, 'grad_norm': 0.3071018159389496, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 958398464}\n{'loss': 2.6747, 'grad_norm': 0.3676702380180359, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 959447040}\n{'loss': 2.6961, 'grad_norm': 0.357799232006073, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 960495616}\n{'loss': 2.7944, 'grad_norm': 0.318391352891922, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 961544192}\n{'loss': 2.8084, 'grad_norm': 0.32000190019607544, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 962592768}\n{'loss': 2.8024, 'grad_norm': 0.3250137269496918, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 963641344}\n{'loss': 2.7951, 'grad_norm': 0.33021438121795654, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 964689920}\n{'loss': 2.8069, 'grad_norm': 0.3257495164871216, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 965738496}\n{'loss': 2.8148, 'grad_norm': 0.3608018159866333, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 966787072}\n[2025-03-11 04:13:12 WARNING] '(ProtocolError('Connection aborted.', RemoteDisconnected('Remote end closed connection without response')), '(Request ID: 36a7cc72-4605-416a-8742-59488d719150)')' thrown while requesting GET https://huggingface.co/datasets/cerebras/SlimPajama-627B/resolve/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk1/example_train_5267.jsonl.zst\n[2025-03-11 04:13:12 WARNING] Retrying in 1s [Retry 1/5].\n{'loss': 2.8089, 'grad_norm': 0.3657573163509369, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 967835648}\n{'loss': 2.8243, 'grad_norm': 0.3791966736316681, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 968884224}\n{'loss': 2.6837, 'grad_norm': 0.4036826193332672, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 969932800}\n{'loss': 2.6694, 'grad_norm': 0.34643635153770447, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 970981376}\n{'loss': 2.8455, 'grad_norm': 0.35321497917175293, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 972029952}\n{'loss': 2.5156, 'grad_norm': 0.3488744795322418, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 973078528}\n{'loss': 2.7185, 'grad_norm': 0.33396172523498535, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 974127104}\n{'loss': 2.856, 'grad_norm': 0.36425134539604187, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 975175680}\n{'loss': 2.7639, 'grad_norm': 0.34361588954925537, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 976224256}\n{'loss': 2.7777, 'grad_norm': 0.45501893758773804, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 977272832}\n{'loss': 2.8692, 'grad_norm': 0.4391760230064392, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 978321408}\n{'loss': 2.7885, 'grad_norm': 0.385729044675827, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 979369984}\n{'loss': 2.8622, 'grad_norm': 0.4122815728187561, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 980418560}\n{'loss': 2.674, 'grad_norm': 0.3223947584629059, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 981467136}\n{'loss': 2.7148, 'grad_norm': 0.39820024371147156, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 982515712}\n{'loss': 2.6975, 'grad_norm': 0.38311144709587097, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 983564288}\n{'loss': 2.8515, 'grad_norm': 0.4324709177017212, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 984612864}\n{'loss': 2.5684, 'grad_norm': 0.3579341471195221, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 985661440}\n{'loss': 2.9478, 'grad_norm': 0.4081536531448364, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 986710016}\n{'loss': 2.7375, 'grad_norm': 0.4332145154476166, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 987758592}\n{'loss': 2.7773, 'grad_norm': 0.43510711193084717, 'learning_rate': 0.001, 'epoch': 0.12, 'num_input_tokens_seen': 988807168}\n...\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/file_utils.py\", line 1378, in _iter_from_urlpaths\n raise FileNotFoundError(urlpath)\nFileNotFoundError: zstd://example_train_1215.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk9/example_train_1215.jsonl.zst\n```\n\n</details>",
"Two more today:\n```python\nFileNotFoundError: zstd://example_holdout_5012.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk4/example_holdout_5012.jsonl.zst\n```\nand\n```python\nFileNotFoundError: zstd://example_holdout_3073.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk2/example_holdout_3073.jsonl.zst\n```\nboth of which exist on the hub ([here](https://huggingface.co/datasets/cerebras/SlimPajama-627B/blob/main/validation/chunk4/example_holdout_5012.jsonl.zst) and [here](https://huggingface.co/datasets/cerebras/SlimPajama-627B/blob/main/validation/chunk2/example_holdout_3073.jsonl.zst)).",
"I also observe the same thing when using streaming with DCLM dataset with 64 GPUs. I have tried ```export HF_DATASETS_STREAMING_PARALLELISM=1``` but doesn't help.",
"Another error today, this time a 504 gateway timeout `HfHubHTTPError`. I have no idea if this is related, but I suspect that it is considering the setup is identical. Notably though, the two errors I posted yesterday were for evaluation (hence the `holdout` in the URLs) whereas today there was no problem doing that first evaluation, but now the `train` split failed.\n```python\n...\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 2226, in __iter__\n for key, example in ex_iterable:\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1499, in __iter__\n for x in self.ex_iterable:\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1067, in __iter__\n yield from self._iter()\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1231, in _iter\n for key, transformed_example in iter_outputs():\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1207, in iter_outputs\n for i, key_example in inputs_iterator:\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1111, in iter_inputs\n for key, example in iterator:\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 371, in __iter__\n for key, pa_table in self.generate_tables_fn(**gen_kwags):\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/packaged_modules/json/json.py\", line 114, in _generate_tables\n with open(file, \"rb\") as f:\n ^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/streaming.py\", line 75, in wrapper\n return function(*args, download_config=download_config, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/file_utils.py\", line 948, in xopen\n file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/core.py\", line 147, in open\n return self.__enter__()\n ^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/core.py\", line 105, in __enter__\n f = self.fs.open(self.path, mode=mode)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/spec.py\", line 1301, in open\n f = self._open(\n ^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/filesystems/compression.py\", line 85, in _open\n return self._open_with_fsspec().open()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/core.py\", line 147, in open\n return self.__enter__()\n ^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/core.py\", line 105, in __enter__\n f = self.fs.open(self.path, mode=mode)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/spec.py\", line 1301, in open\n f = self._open(\n ^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py\", line 234, in _open\n return HfFileSystemFile(self, path, mode=mode, revision=revision, block_size=block_size, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py\", line 691, in __init__\n self.details = fs.info(self.resolved_path.unresolve(), expand_info=False)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py\", line 524, in info\n self.ls(parent_path, expand_info=False)\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py\", line 284, in ls\n out = self._ls_tree(path, refresh=refresh, revision=revision, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py\", line 375, in _ls_tree\n for path_info in tree:\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_api.py\", line 3080, in list_repo_tree\n for path_info in paginate(path=tree_url, headers=headers, params={\"recursive\": recursive, \"expand\": expand}):\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/utils/_pagination.py\", line 46, in paginate\n hf_raise_for_status(r)\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/utils/_http.py\", line 477, in hf_raise_for_status\n raise _format(HfHubHTTPError, str(e), response) from e\nhuggingface_hub.errors.HfHubHTTPError: 504 Server Error: Gateway Time-out for url: https://huggingface.co/api/datasets/cerebras/SlimPajama-627B/tree/2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train%2Fchunk8?recursive=False&expand=False&cursor=ZXlKbWFXeGxYMjVoYldVaU9pSjBjbUZwYmk5amFIVnVhemd2WlhoaGJYQnNaVjkwY21GcGJsOHpOams0TG1wemIyNXNMbnB6ZENKOTozMDAw\n```",
"Another one today:\n```python\nFileNotFoundError: zstd://example_train_4985.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk5/example_train_4985.jsonl.zst\n```",
"This is a constant issue, and has been for six months, at least. Currently, half of my streaming datasets are failing with errors like this.\n\nMuennighoff/natural-instructions:\n```\n File \"/home/crow/repos/praxis/.venv/lib/python3.13/site-packages/datasets/utils/file_utils.py\", line 1379, in _iter_from_urlpaths\n raise FileNotFoundError(urlpath)\nFileNotFoundError: hf://datasets/Muennighoff/natural-instructions@a29a9757125f4bb1c26445ad0d2ef7d9b2cc9c4c/train/task343_winomt_classification_profession_anti_train.jsonl\n```\nopen-phi/textbooks:\n```\n File \"/home/crow/repos/praxis/.venv/lib/python3.13/site-packages/datasets/utils/file_utils.py\", line 1379, in _iter_from_urlpaths\n raise FileNotFoundError(urlpath)\nFileNotFoundError: hf://datasets/open-phi/textbooks@292aaae99cbecacad50f692d7327887f05dacaf2/data/train-00000-of-00001-b513d9e388d56453.parquet\n```\nHuggingFaceTB/smoltalk:\n```\n File \"/home/crow/repos/praxis/.venv/lib/python3.13/site-packages/datasets/utils/file_utils.py\", line 1379, in _iter_from_urlpaths\n raise FileNotFoundError(urlpath)\nFileNotFoundError: hf://datasets/HuggingFaceTB/smoltalk@5feaf2fd3ffca7c237fc38d1861bc30365d48ffa/data/all/train-00003-of-00009.parquet\n```",
"This line of issues has now been going on since April of 2024. It is now August of 2025. I opened this particular issue almost five months ago. Our training runs are still failing. It is apparently too difficult for `datasets` to reliable fetch some text from some server. This is by far the biggest bottleneck in our research and the amount of time spent on setbacks caused by this is unimaginable.\n\nA week ago:\n```python\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 2361, in __iter__\n generator=generator, features=features, gen_kwargs=gen_kwargs, streaming=True, split=split\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1558, in __iter__\n )\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1107, in __iter__\n # If `batched`, first build the batch, if `batch_size` is None or <=0, then the batch is the whole dataset\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1286, in _iter\n iterator = _convert_to_arrow(\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1267, in iter_outputs\n num_examples_to_skip -= 1\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1156, in iter_inputs\n additional_args = ()\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 397, in __iter__\n shard_example_idx_start = self._state_dict[\"shard_example_idx\"] if self._state_dict else 0\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/packaged_modules/json/json.py\", line 99, in _generate_tables\n for file_idx, file in enumerate(itertools.chain.from_iterable(files)):\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/track.py\", line 49, in __iter__\n for x in self.generator(*self.args):\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/file_utils.py\", line 1359, in _iter_from_urlpaths\n cls, urlpaths: Union[str, list[str]], download_config: Optional[DownloadConfig] = None\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nFileNotFoundError: zstd://example_train_1820.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk2/example_train_1820.jsonl.zst\n```\nToday:\n```python\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 2270, in __iter__\n for key, example in ex_iterable:\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1535, in __iter__\n for x in self.ex_iterable:\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1084, in __iter__\n yield from self._iter()\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1263, in _iter\n for key, transformed_example in outputs:\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1244, in iter_outputs\n for i, key_example in inputs_iterator:\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 1133, in iter_inputs\n for key, example in iterator:\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py\", line 374, in __iter__\n for key, pa_table in self.generate_tables_fn(**gen_kwags):\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/packaged_modules/json/json.py\", line 99, in _generate_tables\n for file_idx, file in enumerate(itertools.chain.from_iterable(files)):\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/track.py\", line 49, in __iter__\n for x in self.generator(*self.args):\n File \"/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/file_utils.py\", line 1379, in _iter_from_urlpaths\n raise FileNotFoundError(urlpath)\nFileNotFoundError: zstd://example_train_5054.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk1/example_train_5054.jsonl.zst\n```\nSeriously?"
] |
2,900,143,289
| 7,439
|
Fix multi gpu process example
|
closed
| 2025-03-06T11:29:19
| 2025-03-06T17:07:28
| 2025-03-06T17:06:38
|
https://github.com/huggingface/datasets/pull/7439
|
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"diff_url": "https://github.com/huggingface/datasets/pull/7439.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7439.patch",
"merged_at": null
}
|
SwayStar123
| true
|
[
"Okay nevermind looks like to works both ways for models. but my doubt still remains, isnt this changing the device of the model every batch?"
] |
2,899,209,484
| 7,438
|
Allow dataset row indexing with np.int types (#7423)
|
closed
| 2025-03-06T03:10:43
| 2025-07-23T17:56:22
| 2025-07-23T16:44:42
|
https://github.com/huggingface/datasets/pull/7438
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7438",
"diff_url": "https://github.com/huggingface/datasets/pull/7438.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7438.patch",
"merged_at": "2025-07-23T16:44:42"
}
|
DavidRConnell
| true
|
[
"+1",
"@lhoestq can you take a look at this?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7438). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thank you"
] |
2,899,104,679
| 7,437
|
Use pyupgrade --py39-plus for remaining files
|
open
| 2025-03-06T02:12:25
| 2025-07-30T08:34:34
| null |
https://github.com/huggingface/datasets/pull/7437
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7437",
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"patch_url": "https://github.com/huggingface/datasets/pull/7437.patch",
"merged_at": null
}
|
cyyever
| true
|
[
"@lhoestq Have a look?"
] |
2,898,385,725
| 7,436
|
chore: fix typos
|
closed
| 2025-03-05T20:17:54
| 2025-04-28T14:00:09
| 2025-04-28T13:51:26
|
https://github.com/huggingface/datasets/pull/7436
|
{
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7436",
"html_url": "https://github.com/huggingface/datasets/pull/7436",
"diff_url": "https://github.com/huggingface/datasets/pull/7436.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7436.patch",
"merged_at": "2025-04-28T13:51:26"
}
|
afuetterer
| true
|
[] |
2,895,536,956
| 7,435
|
Refactor `string_to_dict` to return `None` if there is no match instead of raising `ValueError`
|
closed
| 2025-03-04T22:01:20
| 2025-03-12T16:52:00
| 2025-03-12T16:52:00
|
https://github.com/huggingface/datasets/pull/7435
|
{
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7435",
"html_url": "https://github.com/huggingface/datasets/pull/7435",
"diff_url": "https://github.com/huggingface/datasets/pull/7435.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7435.patch",
"merged_at": "2025-03-12T16:51:59"
}
|
ringohoffman
| true
|
[
"cc: @lhoestq ",
"I am going to rebase #7434 onto this branch. Then we can merge this one first if you approve, and then #7434.",
"@lhoestq any thoughts here?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7435). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"It looks like I was unsafely asserting that `source_url_fields is not None` in `image.py`, `video.py` and `audio.py` (which did not correspond to the `except ValueError` like was there previously). I've changed it to handle `source_url_fields is None`.",
"Can we re-run CI on this one?",
"Sweet! These failures are looking spurious due to connectivity issues. Can the failing run be retried?",
"@lhoestq Sorry to double ping, but can this PR be reviewed? I think it is ready!\n"
] |
2,893,075,908
| 7,434
|
Refactor `Dataset.map` to reuse cache files mapped with different `num_proc`
|
closed
| 2025-03-04T06:12:37
| 2025-05-14T10:45:10
| 2025-05-12T15:14:08
|
https://github.com/huggingface/datasets/pull/7434
|
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/7434",
"html_url": "https://github.com/huggingface/datasets/pull/7434",
"diff_url": "https://github.com/huggingface/datasets/pull/7434.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7434.patch",
"merged_at": "2025-05-12T15:14:08"
}
|
ringohoffman
| true
|
[
"@lhoestq please let me know what you think about this.",
"It looks like I can't change the merge target to #7435, so it will look like there is a bunch of extra stuff until #7435 is in main.",
"@lhoestq Thanks so much for reviewing #7435! Now that that's merged, I think this PR is ready!! Can you kick off CI when you get the chance?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7434). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Do you mind kicking off CI again?",
"The change I made to support windows paths in 637c1600fe7dd601eff571fda446937bd96c5c84 ended up breaking causing these tests in [tests/test_data_files.py](https://github.com/huggingface/datasets/actions/runs/13858546629/job/38781008643#step:10:6991). When I removed `glob_pattern_to_regex` in 583c28e7560b9d6db2e13048731f41ec8fa11361, none of the tests failed. So I'm thinking the `unicode_escape` may be handling the what `glob_pattern_to_regex` was doing.\r\n",
"@lhoestq will you have a chance to review this today?",
"Any update?",
"> LGTM and sorry for the delay !\r\n> \r\n> note that the CI failures are unrelated to this PR :)\r\n\r\nGreat job!",
"great job to @ringohoffman ! ;)"
] |
2,890,240,400
| 7,433
|
`Dataset.map` ignores existing caches and remaps when ran with different `num_proc`
|
closed
| 2025-03-03T05:51:26
| 2025-05-12T15:14:09
| 2025-05-12T15:14:09
|
https://github.com/huggingface/datasets/issues/7433
| null |
ringohoffman
| false
|
[
"This feels related: https://github.com/huggingface/datasets/issues/3044",
"@lhoestq This comment specifically, I agree:\n\n* https://github.com/huggingface/datasets/issues/3044#issuecomment-1239877570\n\n> Almost a year later and I'm in a similar boat. Using custom fingerprints and when using multiprocessing the cached datasets are saved with a template at the end of the filename (something like \"000001_of_000008\" for every process of num_proc). So if in the next time you run the script you set num_proc to a different number, the cache cannot be used.\n> \n> Is there any way to get around this? I am processing a huge dataset so I do the processing on one machine and then transfer the processed data to another in its cache dir but currently that's not possible due to num_proc mismatch.\n\n"
] |
2,887,717,289
| 7,432
|
Fix type annotation
|
closed
| 2025-02-28T17:28:20
| 2025-03-04T15:53:03
| 2025-03-04T15:53:03
|
https://github.com/huggingface/datasets/pull/7432
|
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"patch_url": "https://github.com/huggingface/datasets/pull/7432.patch",
"merged_at": null
}
|
NeilGirdhar
| true
|
[
"Thanks ! There is https://github.com/huggingface/datasets/pull/7426 already that fixes the issue, I'm closing your PR if you don't mind"
] |
2,887,244,074
| 7,431
|
Issues with large Datasets
|
open
| 2025-02-28T14:05:22
| 2025-03-04T15:02:26
| null |
https://github.com/huggingface/datasets/issues/7431
| null |
nikitabelooussovbtis
| false
|
[
"what's the error message ?",
"This was the final error message that it was giving pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0",
"Here is the list of errors:\n\nTraceback (most recent call last):\n File \".venv/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py\", line 160, in _generate_tables\n df = pandas_read_json(f)\n ^^^^^^^^^^^^^^^^^^^\n File \".venv/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py\", line 38, in pandas_read_json\n return pd.read_json(path_or_buf, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \".venv/lib/python3.12/site-packages/pandas/io/json/_json.py\", line 815, in read_json\n return json_reader.read()\n ^^^^^^^^^^^^^^^^^^\n File \".venv/lib/python3.12/site-packages/pandas/io/json/_json.py\", line 1025, in read\n obj = self._get_object_parser(self.data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \".venv/lib/python3.12/site-packages/pandas/io/json/_json.py\", line 1051, in _get_object_parser\n obj = FrameParser(json, **kwargs).parse()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \".venv/lib/python3.12/site-packages/pandas/io/json/_json.py\", line 1187, in parse\n self._parse()\n File \".venv/lib/python3.12/site-packages/pandas/io/json/_json.py\", line 1402, in _parse\n self.obj = DataFrame(\n ^^^^^^^^^^\n File \".venv/lib/python3.12/site-packages/pandas/core/frame.py\", line 778, in __init__\n mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \".venv/lib/python3.12/site-packages/pandas/core/internals/construction.py\", line 503, in dict_to_mgr\n return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \".venv/lib/python3.12/site-packages/pandas/core/internals/construction.py\", line 114, in arrays_to_mgr\n index = _extract_index(arrays)\n ^^^^^^^^^^^^^^^^^^^^^^\n File \".venv/lib/python3.12/site-packages/pandas/core/internals/construction.py\", line 677, in _extract_index\n raise ValueError(\"All arrays must be of the same length\")\nValueError: All arrays must be of the same length\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \".venv/lib/python3.12/site-packages/datasets/builder.py\", line 1854, in _prepare_split_single\n for _, table in generator:\n File \".venv/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py\", line 163, in _generate_tables\n raise e\n File \".venv/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py\", line 137, in _generate_tables\n pa_table = paj.read_json(\n ^^^^^^^^^^^^^^\n File \"pyarrow/_json.pyx\", line 308, in pyarrow._json.read_json\n File \"pyarrow/error.pxi\", line 155, in pyarrow.lib.pyarrow_internal_check_status\n File \"pyarrow/error.pxi\", line 92, in pyarrow.lib.check_status\npyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to number in row 0\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"run_object_detection.py\", line 582, in <module>\n main()\n File \"run_object_detection.py\", line 407, in main\n dataset = load_dataset(\n ^^^^^^^^^^^^^\n File \"venv/lib/python3.12/site-packages/datasets/load.py\", line 2151, in load_dataset\n builder_instance.download_and_prepare(\n File \".venv/lib/python3.12/site-packages/datasets/builder.py\", line 924, in download_and_prepare\n self._download_and_prepare(\n File \".venv/lib/python3.12/site-packages/datasets/builder.py\", line 1000, in _download_and_prepare\n self._prepare_split(split_generator, **prepare_split_kwargs)\n File \".venv/lib/python3.12/site-packages/datasets/builder.py\", line 1741, in _prepare_split\n for job_id, done, content in self._prepare_split_single(\n File \".venv/lib/python3.12/site-packages/datasets/builder.py\", line 1897, in _prepare_split_single\n raise DatasetGenerationError(\"An error occurred while generating the dataset\") from e\ndatasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset",
"`datasets` is based on Arrow which expects all the lists inside the data to be of fixed type. Arrow can't load lists that contain a mix of integers and strings for example. In your case it looks like one of the lists contains numbers and JSON objects.\n\nI'd suggest you to reformat the data to end up with list of fixed types, otherwise you won't be able to load the data in `datasets`"
] |
2,886,922,573
| 7,430
|
Error in code "Time to slice and dice" from course "NLP Course"
|
closed
| 2025-02-28T11:36:10
| 2025-03-05T11:32:47
| 2025-03-03T17:52:15
|
https://github.com/huggingface/datasets/issues/7430
| null |
Yurkmez
| false
|
[
"You should open an issue in the NLP course website / github page. I'm closing this issue if you don't mind",
"ok, i don't mind, i'll mark the error there"
] |
2,886,806,513
| 7,429
|
Improved type annotation
|
open
| 2025-02-28T10:39:10
| 2025-05-15T12:27:17
| null |
https://github.com/huggingface/datasets/pull/7429
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7429",
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"merged_at": null
}
|
saiden89
| true
|
[
"@lhoestq Could someone please take a quick look or let me know if there’s anything I should change? Thanks!",
"could you fix the conflicts ? I think some type annotations have been improved since your first commit",
"It should be good now.\r\nI'm happy to add more annotations or refine further if needed—just let me know!"
] |
2,886,111,651
| 7,428
|
Use pyupgrade --py39-plus
|
closed
| 2025-02-28T03:39:44
| 2025-03-22T00:51:20
| 2025-03-05T15:04:16
|
https://github.com/huggingface/datasets/pull/7428
|
{
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7428",
"html_url": "https://github.com/huggingface/datasets/pull/7428",
"diff_url": "https://github.com/huggingface/datasets/pull/7428.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7428.patch",
"merged_at": "2025-03-05T15:04:16"
}
|
cyyever
| true
|
[
"Hi ! can you run `make style` to fix code formatting ?",
"@lhoestq Fixed",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7428). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,886,032,571
| 7,427
|
Error splitting the input into NAL units.
|
open
| 2025-02-28T02:30:15
| 2025-03-04T01:40:28
| null |
https://github.com/huggingface/datasets/issues/7427
| null |
MengHao666
| false
|
[
"First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`",
"> First time I see this error :/ maybe it's an issue with your version of `multiprocess` and `dill` ? Make sure they are compatible with `datasets`\n\nany recommendation for `multiprocess` and `dill`"
] |
2,883,754,507
| 7,426
|
fix: None default with bool type on load creates typing error
|
closed
| 2025-02-27T08:11:36
| 2025-03-04T15:53:40
| 2025-03-04T15:53:40
|
https://github.com/huggingface/datasets/pull/7426
|
{
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7426",
"html_url": "https://github.com/huggingface/datasets/pull/7426",
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"patch_url": "https://github.com/huggingface/datasets/pull/7426.patch",
"merged_at": "2025-03-04T15:53:40"
}
|
stephantul
| true
|
[] |
2,883,684,686
| 7,425
|
load_dataset("livecodebench/code_generation_lite", version_tag="release_v2") TypeError: 'NoneType' object is not callable
|
open
| 2025-02-27T07:36:02
| 2025-03-27T05:05:33
| null |
https://github.com/huggingface/datasets/issues/7425
| null |
dshwei
| false
|
[
"> datasets\n\nHi, have you solved this bug? Today I also met the same problem about `livecodebench/code_generation_lite` when evaluating the `Open-R1` repo. I am looking forward to your reply!\n\n",
"Hey guys,\nI tried to reproduce the issue and it works fine. I used google colab as enviroment.\n\n",
"> Hey guys, I tried to reproduce the issue and it works fine. I used google colab as enviroment.\n> \n> \n\nThanks for your kind reply! I wonder which Python version do you use? My Python version is 3.11.11 and datasets version is 3.3.2 but I still met this bug.\n\n<img width=\"1121\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/7c2c5007-ee55-4030-94b9-01fcdea0bf4a\" />",
"@zwxandy It's Python 3.11.11",
"@Serzhanov @zwxandy I have met the same problem, have this problem be solved?",
"> [@Serzhanov](https://github.com/Serzhanov) [@zwxandy](https://github.com/zwxandy) I have met the same problem, have this problem be solved?\n\nI try to downgrade datasets version to 2.20.0，and it works for me @Serzhanov @dshwei , hope this work for you too :)",
"> > datasets\n> \n> Hi, have you solved this bug? Today I also met the same problem about `livecodebench/code_generation_lite` when evaluating the `Open-R1` repo. I am looking forward to your reply!\n> \n> \n\nHi, have you resolved this problem? I meet the same bug when evaluating the ’Open-R1’, too. Looking forward to your reply!",
"> > [@Serzhanov](https://github.com/Serzhanov) [@zwxandy](https://github.com/zwxandy) I have met the same problem, have this problem be solved?\n> \n> I try to downgrade datasets version to 2.20.0，and it works for me [@Serzhanov](https://github.com/Serzhanov) [@dshwei](https://github.com/dshwei) , hope this work for you too :)\n\nI still met the same bug after downgrading datasets version to 2.20.0. Moreover, it is not friendly to Open-R1 since there can be another bug: `open-r1 0.1.0.dev0 requires datasets>=3.2.0` with datasets==2.20.0",
"> > > datasets\n> > \n> > \n> > Hi, have you solved this bug? Today I also met the same problem about `livecodebench/code_generation_lite` when evaluating the `Open-R1` repo. I am looking forward to your reply!\n> > \n> \n> Hi, have you resolved this problem? I meet the same bug when evaluating the ’Open-R1’, too. Looking forward to your reply!\n\nHi, I still cannot solve this bug introduced from datasets version. Downgrading datasets version to 2.20.0 cannot work for me and it introduces another problem `open-r1 0.1.0.dev0 requires datasets>=3.2.0` in Open-R1.\n\nLuckily, there is a tricky way to enable you to run Open-R1. You can remove or comment the code related to `lcb` in `~/anaconda3/envs/openr1/lib/python3.11/site-packages/lighteval/tasks/extended/__init__.py`. I have reproduce the results of DeepSeek-R1-Distill-Qwen-1.5B and 7B on MATH-500, GPQA, and AIME24.\n\nYou can have a try~",
"The issue was resolved .\nbecause the file` livecodebench/code_generation_lite/code_generation_lite.py `was not downloaded. Manually downloading it fixed the problem."
] |
2,882,663,621
| 7,424
|
Faster folder based builder + parquet support + allow repeated media + use torchvideo
|
closed
| 2025-02-26T19:55:18
| 2025-03-05T18:51:00
| 2025-03-05T17:41:23
|
https://github.com/huggingface/datasets/pull/7424
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7424.patch",
"merged_at": "2025-03-05T17:41:22"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7424). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,879,271,409
| 7,423
|
Row indexing a dataset with numpy integers
|
closed
| 2025-02-25T18:44:45
| 2025-07-28T02:23:17
| 2025-07-28T02:23:17
|
https://github.com/huggingface/datasets/issues/7423
| null |
DavidRConnell
| false
|
[
"Would be cool to be consistent when it comes to indexing with numpy objects, if we do accept numpy arrays we should indeed accept numpy integers. Your idea sounds reasonable, I'd also be in favor of adding a simple test as well"
] |
2,878,369,052
| 7,421
|
DVC integration broken
|
open
| 2025-02-25T13:14:31
| 2025-03-03T17:42:02
| null |
https://github.com/huggingface/datasets/issues/7421
| null |
maxstrobel
| false
|
[
"Unfortunately `url` is a reserved argument in `fsspec.url_to_fs`, so ideally file system implementations like DVC should use another argument name to avoid this kind of errors"
] |
2,876,281,928
| 7,420
|
better correspondence between cached and saved datasets created using from_generator
|
open
| 2025-02-24T22:14:37
| 2025-02-26T03:10:22
| null |
https://github.com/huggingface/datasets/issues/7420
| null |
vttrifonov
| false
|
[] |
2,875,635,320
| 7,419
|
Import order crashes script execution
|
open
| 2025-02-24T17:03:43
| 2025-02-24T17:03:43
| null |
https://github.com/huggingface/datasets/issues/7419
| null |
DamienMatias
| false
|
[] |
2,868,701,471
| 7,418
|
pyarrow.lib.arrowinvalid: cannot mix list and non-list, non-null values with map function
|
open
| 2025-02-21T10:58:06
| 2025-07-11T13:06:10
| null |
https://github.com/huggingface/datasets/issues/7418
| null |
alexxchen
| false
|
[
"@lhoestq ",
"Can you try passing text: None for the image object ? Pyarrow expects all the objects to have the exact same type, in particular the dicttionaries in \"content\" should all have the keys \"type\" and \"text\"",
"The following modification on system prompt works, but it is different from the usual way to use it.\n```\ndef make_conversation(example):\n prompt = []\n\n prompt.append({\"role\": \"system\", \"content\": [{\"type\": \"text\", \"text\": system_prompt}]})\n prompt.append(\n {\n \"role\": \"user\", \n \"content\": [\n {\"type\": \"image\"},\n {\"type\": \"text\", \"text\": example[\"problem\"]},\n ]\n }\n )\n return {\"prompt\": prompt}\n```",
"Good to know ! But yes Arrow / Parquet have this typing limitation (which is great to ensure data integrity, but constraining at the same time). It's is really blocking you, feel free to ping the arrow team / community if they plan to have a Union type or a JSON type",
"I encounter exactly the similar problem when using pyarrow. This issue truly helps a lot."
] |
2,866,868,922
| 7,417
|
set dev version
|
closed
| 2025-02-20T17:45:29
| 2025-02-20T17:47:50
| 2025-02-20T17:45:36
|
https://github.com/huggingface/datasets/pull/7417
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7417.patch",
"merged_at": "2025-02-20T17:45:36"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7417). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,866,862,143
| 7,416
|
Release: 3.3.2
|
closed
| 2025-02-20T17:42:11
| 2025-02-20T17:44:35
| 2025-02-20T17:43:28
|
https://github.com/huggingface/datasets/pull/7416
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7416",
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"patch_url": "https://github.com/huggingface/datasets/pull/7416.patch",
"merged_at": "2025-02-20T17:43:28"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7416). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,865,774,546
| 7,415
|
Shard Dataset at specific indices
|
open
| 2025-02-20T10:43:10
| 2025-02-24T11:06:45
| null |
https://github.com/huggingface/datasets/issues/7415
| null |
nikonikolov
| false
|
[
"Hi ! if it's an option I'd suggest to have one sequence per row instead.\n\nOtherwise you'd have to make your own save/load mechanism",
"Saving one sequence per row is very difficult and heavy and makes all the optimizations pointless. How would a custom save/load mechanism look like?",
"You can use `pyarrow` for example to save/load individual arrow or parquet files and control what they contain"
] |
2,863,798,756
| 7,414
|
Gracefully cancel async tasks
|
closed
| 2025-02-19T16:10:58
| 2025-02-20T14:12:26
| 2025-02-20T14:12:23
|
https://github.com/huggingface/datasets/pull/7414
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7414.patch",
"merged_at": "2025-02-20T14:12:23"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7414). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,860,947,582
| 7,413
|
Documentation on multiple media files of the same type with WebDataset
|
open
| 2025-02-18T16:13:20
| 2025-02-20T14:17:54
| null |
https://github.com/huggingface/datasets/issues/7413
| null |
DCNemesis
| false
|
[
"Yes this is correct and it works with huggingface datasets as well ! Feel free to include an example here: https://github.com/huggingface/datasets/blob/main/docs/source/video_dataset.mdx"
] |
2,859,433,710
| 7,412
|
Index Error Invalid Ket is out of bounds for size 0 for code-search-net/code_search_net dataset
|
open
| 2025-02-18T05:58:33
| 2025-02-18T06:42:07
| null |
https://github.com/huggingface/datasets/issues/7412
| null |
harshakhmk
| false
|
[] |
2,858,993,390
| 7,411
|
Attempt to fix multiprocessing hang by closing and joining the pool before termination
|
closed
| 2025-02-17T23:58:03
| 2025-02-19T21:11:24
| 2025-02-19T13:40:32
|
https://github.com/huggingface/datasets/pull/7411
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7411",
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"patch_url": "https://github.com/huggingface/datasets/pull/7411.patch",
"merged_at": "2025-02-19T13:40:32"
}
|
dakinggg
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7411). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks for the fix! We have been affected by this a lot when we try to use LLM Foundry with larger multimodal ICL datasets. ",
"@lorabit110 are you able to test it out for your case as well? Would be great to get a second validation that it actually fixes the issue. Thanks!"
] |
2,858,085,707
| 7,410
|
Set dev version
|
closed
| 2025-02-17T14:54:39
| 2025-02-17T14:56:58
| 2025-02-17T14:54:56
|
https://github.com/huggingface/datasets/pull/7410
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7410",
"diff_url": "https://github.com/huggingface/datasets/pull/7410.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7410.patch",
"merged_at": "2025-02-17T14:54:56"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7410). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,858,079,508
| 7,409
|
Release: 3.3.1
|
closed
| 2025-02-17T14:52:12
| 2025-02-17T14:54:32
| 2025-02-17T14:53:13
|
https://github.com/huggingface/datasets/pull/7409
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7409.patch",
"merged_at": "2025-02-17T14:53:13"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7409). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,858,012,313
| 7,408
|
Fix filter speed regression
|
closed
| 2025-02-17T14:25:32
| 2025-02-17T14:28:48
| 2025-02-17T14:28:46
|
https://github.com/huggingface/datasets/pull/7408
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7408",
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"patch_url": "https://github.com/huggingface/datasets/pull/7408.patch",
"merged_at": "2025-02-17T14:28:46"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7408). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,856,517,442
| 7,407
|
Update use_with_pandas.mdx: to_pandas() correction in last section
|
closed
| 2025-02-17T01:53:31
| 2025-02-20T17:28:04
| 2025-02-20T17:28:04
|
https://github.com/huggingface/datasets/pull/7407
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7407",
"diff_url": "https://github.com/huggingface/datasets/pull/7407.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7407.patch",
"merged_at": "2025-02-20T17:28:04"
}
|
ibarrien
| true
|
[] |
2,856,441,206
| 7,406
|
Adding Core Maintainer List to CONTRIBUTING.md
|
closed
| 2025-02-17T00:32:40
| 2025-03-24T10:57:54
| 2025-03-24T10:57:54
|
https://github.com/huggingface/datasets/issues/7406
| null |
jp1924
| false
|
[
"@lhoestq",
"there is no per-module maintainer and the list is me alone nowadays ^^'",
"@lhoestq \nOh... I feel for you. \nWhat are your criteria for choosing a core maintainer? \nIt seems like it's too much work for you to manage all this code by yourself.\n\nAlso, if you don't mind, can you check this PR for me?\n#7368 I'd like this to be added as soon as possible because I need it."
] |
2,856,372,814
| 7,405
|
Lazy loading of environment variables
|
open
| 2025-02-16T22:31:41
| 2025-02-17T15:17:18
| null |
https://github.com/huggingface/datasets/issues/7405
| null |
nikvaessen
| false
|
[
"Many python packages out there, including `huggingface_hub`, do load the environment variables on import.\nYou should `load_dotenv()` before importing the libraries.\n\nFor example you can move all you imports inside your `main()` function"
] |
2,856,366,207
| 7,404
|
Performance regression in `dataset.filter`
|
closed
| 2025-02-16T22:19:14
| 2025-02-17T17:46:06
| 2025-02-17T14:28:48
|
https://github.com/huggingface/datasets/issues/7404
| null |
ttim
| false
|
[
"Thanks for reporting, I'll fix the regression today",
"I just released `datasets` 3.3.1 with a fix, let me know if it's good now :)",
"@lhoestq it fixed the issue.\n\nThis was (very) fast, thank you very much!"
] |
2,855,880,858
| 7,402
|
Fix a typo in arrow_dataset.py
|
closed
| 2025-02-16T04:52:02
| 2025-02-20T17:29:28
| 2025-02-20T17:29:28
|
https://github.com/huggingface/datasets/pull/7402
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7402.patch",
"merged_at": "2025-02-20T17:29:28"
}
|
jingedawang
| true
|
[] |
2,853,260,869
| 7,401
|
set dev version
|
closed
| 2025-02-14T10:17:03
| 2025-02-14T10:19:20
| 2025-02-14T10:17:13
|
https://github.com/huggingface/datasets/pull/7401
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7401",
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"patch_url": "https://github.com/huggingface/datasets/pull/7401.patch",
"merged_at": "2025-02-14T10:17:13"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7401). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,853,098,442
| 7,399
|
Synchronize parameters for various datasets
|
open
| 2025-02-14T09:15:11
| 2025-02-19T11:50:29
| null |
https://github.com/huggingface/datasets/issues/7399
| null |
grofte
| false
|
[
"Hi ! the `desc` parameter is only available for Dataset / DatasetDict for the progress bar of `map()``\n\nSince IterableDataset only runs the map functions when you iterate over the dataset, there is no progress bar and `desc` is useless. We could still add the argument for parity but it wouldn't be used for anything",
"I think you should add it. It doesn't hurt. The reason I ran into it was because I re-wrote a pipeline to use either a stream or a fully loaded dataset. Of course I can simply remove it but it is nice to have on the memory loaded dataset. "
] |
2,853,097,869
| 7,398
|
Release: 3.3.0
|
closed
| 2025-02-14T09:15:03
| 2025-02-14T09:57:39
| 2025-02-14T09:57:37
|
https://github.com/huggingface/datasets/pull/7398
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7398.patch",
"merged_at": "2025-02-14T09:57:37"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7398). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,852,829,763
| 7,397
|
Kannada dataset(Conversations, Wikipedia etc)
|
closed
| 2025-02-14T06:53:03
| 2025-02-20T17:28:54
| 2025-02-20T17:28:53
|
https://github.com/huggingface/datasets/pull/7397
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7397.patch",
"merged_at": null
}
|
Likhith2612
| true
|
[
"Hi ! feel free to uplad the CSV on https://huggingface.co/datasets :)\r\n\r\nwe don't store the datasets' data in this github repository"
] |
2,853,201,277
| 7,400
|
504 Gateway Timeout when uploading large dataset to Hugging Face Hub
|
open
| 2025-02-14T02:18:35
| 2025-02-14T23:48:36
| null |
https://github.com/huggingface/datasets/issues/7400
| null |
hotchpotch
| false
|
[
"I transferred to the `datasets` repository. Is there any retry mechanism in `datasets` @lhoestq ?\n\nAnother solution @hotchpotch if you want to get your dataset pushed to the Hub in a robust way is to save it to a local folder first and then use `huggingface-cli upload-large-folder` (see https://huggingface.co/docs/huggingface_hub/guides/upload#upload-a-large-folder). It has better retry mechanism in case of failure.",
"There is no retry mechanism for `api.preupload_lfs_files` in `push_to_hub()` but we can definitely add one here\n\nhttps://github.com/huggingface/datasets/blob/de062f0552a810c52077543c1169c38c1f0c53fc/src/datasets/arrow_dataset.py#L5372",
"@Wauplin \n\nThank you! I believe that to use load_dataset() to read data from Hugging Face, we need to first save the markdown metadata and parquet files in our local filesystem, then upload them using upload-large-folder. If you know how to do this, could you please let me know?\n\n",
"@lhoestq \n\nI see, so adding a retry mechanism there would solve it. If I continue to have issues, I'll consider implementing that kind of solution."
] |
2,851,716,755
| 7,396
|
Update README.md
|
closed
| 2025-02-13T17:44:36
| 2025-02-13T17:46:57
| 2025-02-13T17:44:51
|
https://github.com/huggingface/datasets/pull/7396
|
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"patch_url": "https://github.com/huggingface/datasets/pull/7396.patch",
"merged_at": "2025-02-13T17:44:51"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7396). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,851,575,160
| 7,395
|
Update docs
|
closed
| 2025-02-13T16:43:15
| 2025-02-13T17:20:32
| 2025-02-13T17:20:30
|
https://github.com/huggingface/datasets/pull/7395
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7395.patch",
"merged_at": "2025-02-13T17:20:29"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7395). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,847,172,115
| 7,394
|
Using load_dataset with data_files and split arguments yields an error
|
open
| 2025-02-12T04:50:11
| 2025-02-12T04:50:11
| null |
https://github.com/huggingface/datasets/issues/7394
| null |
devon-research
| false
|
[] |
2,846,446,674
| 7,393
|
Optimized sequence encoding for scalars
|
closed
| 2025-02-11T20:30:44
| 2025-02-13T17:11:33
| 2025-02-13T17:11:32
|
https://github.com/huggingface/datasets/pull/7393
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7393.patch",
"merged_at": "2025-02-13T17:11:32"
}
|
lukasgd
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7393). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,846,095,043
| 7,392
|
push_to_hub payload too large error when using large ClassLabel feature
|
open
| 2025-02-11T17:51:34
| 2025-02-11T18:01:31
| null |
https://github.com/huggingface/datasets/issues/7392
| null |
DavidRConnell
| false
|
[
"See also <https://discuss.huggingface.co/t/datasetdict-push-to-hub-failing-with-payload-to-large/140083/8>\n"
] |
2,845,184,764
| 7,391
|
AttributeError: module 'pyarrow.lib' has no attribute 'ListViewType'
|
open
| 2025-02-11T12:02:26
| 2025-02-11T12:02:26
| null |
https://github.com/huggingface/datasets/issues/7391
| null |
LinXin04
| false
|
[] |
2,843,813,365
| 7,390
|
Re-add py.typed
|
open
| 2025-02-10T22:12:52
| 2025-08-10T00:51:17
| null |
https://github.com/huggingface/datasets/issues/7390
| null |
NeilGirdhar
| false
|
[
"A similar issue was fixed for the `transformers` package, too: https://github.com/huggingface/transformers/pull/37022"
] |
2,843,592,606
| 7,389
|
Getting statistics about filtered examples
|
closed
| 2025-02-10T20:48:29
| 2025-02-11T20:44:15
| 2025-02-11T20:44:13
|
https://github.com/huggingface/datasets/issues/7389
| null |
jonathanasdf
| false
|
[
"You can actually track a running sum in map() or filter() :)\n\n```python\nnum_filtered = 0\n\ndef f(x):\n global num_filtered\n condition = len(x[\"text\"]) < 1000\n if not condition:\n num_filtered += 1\n return condition\n\nds = ds.filter(f)\nprint(num_filtered)\n```\n\nand if you want to use multiprocessing, make sure to use a variable that is shared across processes\n\n\n```python\nfrom multiprocess import Manager\n\nmanager = Manager()\nnum_filtered = manager.Value('i', 0)\n\ndef f(x):\n global num_filtered\n condition = len(x[\"text\"]) < 1000\n if not condition:\n num_filtered.value += 1\n return condition\n\nds = ds.filter(f, num_proc=4)\nprint(num_filtered.value)\n```\n\nPS: `datasets` uses `multiprocess` instead of the `multiprocessing` package to support lambda functions in map() and filter()",
"Oh that's great to know!\n\nI guess this value would not be exactly synced with the batch in cases of pre-fetch and shuffle buffers and so on, but that's probably fine. Thanks!"
] |
2,843,188,499
| 7,388
|
OSError: [Errno 22] Invalid argument forbidden character
|
closed
| 2025-02-10T17:46:31
| 2025-02-11T13:42:32
| 2025-02-11T13:42:30
|
https://github.com/huggingface/datasets/issues/7388
| null |
langflogit
| false
|
[
"You can probably copy the dataset in your HF account and rename the files (without having to download them to your disk). Or alternatively feel free to open a Pull Request to this dataset with the renamed file",
"Thank you, that will help me work around this problem"
] |
2,841,228,048
| 7,387
|
Dynamic adjusting dataloader sampling weight
|
open
| 2025-02-10T03:18:47
| 2025-03-07T14:06:54
| null |
https://github.com/huggingface/datasets/issues/7387
| null |
whc688
| false
|
[
"You mean based on a condition that has to be checked on-the-fly during training ? Otherwise if you know in advance after how many samples you need to change the sampling you can simply concatenate the two mixes",
"Yes, like during training, if one data sample's prediction is consistently wrong, its sampling weight gets higher and higher, and if one data sample's prediction is already correct, then we rarely sample it",
"it's not possible to use `interleave_datasets()` and modify the probabilities while iterating on the dataset at the moment, so you'd have to implement your own torch `Sampler` or your own`IterableDataset` to implement this logic"
] |
2,840,032,524
| 7,386
|
Add bookfolder Dataset Builder for Digital Book Formats
|
closed
| 2025-02-08T14:27:55
| 2025-02-08T14:30:10
| 2025-02-08T14:30:09
|
https://github.com/huggingface/datasets/issues/7386
| null |
shikanime
| false
|
[
"On second thought, probably not a good idea."
] |
2,830,664,522
| 7,385
|
Make IterableDataset (optionally) resumable
|
open
| 2025-02-04T15:55:33
| 2025-03-03T17:31:40
| null |
https://github.com/huggingface/datasets/pull/7385
|
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"patch_url": "https://github.com/huggingface/datasets/pull/7385.patch",
"merged_at": null
}
|
yzhangcs
| true
|
[
"@lhoestq Hi again~ Just circling back on this\r\nWondering if there’s anything I can do to help move this forward. 🤗 \r\nThanks!",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7385). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,828,208,828
| 7,384
|
Support async functions in map()
|
closed
| 2025-02-03T18:18:40
| 2025-02-13T14:01:13
| 2025-02-13T14:00:06
|
https://github.com/huggingface/datasets/pull/7384
|
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"html_url": "https://github.com/huggingface/datasets/pull/7384",
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"patch_url": "https://github.com/huggingface/datasets/pull/7384.patch",
"merged_at": "2025-02-13T14:00:06"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7384). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"example of what you can do with it:\r\n\r\n```python\r\nimport aiohttp\r\nfrom huggingface_hub import get_token\r\n\r\nfrom datasets import Dataset\r\n\r\n\r\nAPI_URL = \"https://api-inference.huggingface.co/models/microsoft/Phi-3-mini-4k-instruct/v1/chat/completions\"\r\nPROMPT = \"What is this text mainly about ? Here is the text:\\n\\n```\\n{Problem}\\n```\\n\\nReply in one or two words.\"\r\n\r\nasync def query(example):\r\n headers = {\"Authorization\": f\"Bearer {get_token()}\", \"Content-Type\": \"application/json\"}\r\n json = {\"messages\": [{\"role\": \"user\", \"content\": PROMPT.format(Problem=example[\"Problem\"])}], \"max_tokens\": 20, \"seed\": 42}\r\n async with aiohttp.ClientSession() as session, session.post(API_URL, headers=headers, json=json) as response:\r\n output = await response.json()\r\n return {\"output\": output[\"choices\"][0][\"message\"][\"content\"]}\r\n\r\nds = Dataset.from_dict({\"Problem\": [\"1 + 1\"] * 10})\r\nds = ds.map(query)\r\nprint(ds[0])\r\n# {'Problem': '1 + 1', 'output': 'Arithmetic'}\r\n```"
] |
2,823,480,924
| 7,382
|
Add Pandas, PyArrow and Polars docs
|
closed
| 2025-01-31T13:22:59
| 2025-01-31T16:30:59
| 2025-01-31T16:30:57
|
https://github.com/huggingface/datasets/pull/7382
|
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"patch_url": "https://github.com/huggingface/datasets/pull/7382.patch",
"merged_at": "2025-01-31T16:30:57"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7382). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,815,649,092
| 7,381
|
Iterating over values of a column in the IterableDataset
|
closed
| 2025-01-28T13:17:36
| 2025-05-22T18:00:04
| 2025-05-22T18:00:04
|
https://github.com/huggingface/datasets/issues/7381
| null |
TopCoder2K
| false
|
[
"I'd be in favor of that ! I saw many people implementing their own iterables that wrap a dataset just to iterate on a single column, that would make things more practical.\n\nKinda related: https://github.com/huggingface/datasets/issues/5847",
"(For anyone's information, I'm going on vacation for the next 3 weeks, so the work is postponed. If anyone can implement this feature within the next 4 weeks, go ahead :) )\n\nUPD from 04/06/25:\nI'm planning to start work on the feature in early May.",
"#self-assign",
"# Preliminary discussion\n\nIdeally, I would like to be able to operate on a column with [map](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.IterableDataset.map), [filter](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.IterableDataset.filter), [batch](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.IterableDataset.batch) and probably some other `IterableDataset`'s methods, however, the same results can be achieved by using the methods on an `IterableDataset` object and utilizing `__getitem__()` afterwards. Thus, one may not support these methods at first and try to make the implementation as simple as possible.\n\n# Implementation\n\nBased on the preliminary discussion, one can do the following:\n```python\nclass IterableColumn:\n def __init__(self, dataset: \"IterableDataset\", column_name: str):\n self.dataset = dataset\n self.column_name = column_name\n\n def __iter__(self) -> Iterator[Any]:\n for example in self.dataset:\n yield example[self.column_name]\n\n\nclass IterableDataset(DatasetInfoMixin):\n ...\n def __getitem__(self, column_name: str) -> IterableColumn:\n return IterableColumn(self, column_name)\n ...\n```\n\n# Testing\n\nIt works as expected in our simple test:\n```python\ndef gen():\n yield {\"text\": \"Good\", \"label\": 0}\n yield {\"text\": \"Bad\", \"label\": 1}\n\nds = IterableDataset.from_generator(gen)\n\ntexts = ds[\"text\"] # `texts` is an IterableColumn object\nfor v in texts:\n print(v) # Prints \"Good\" and \"Bad\"\nfor v in texts:\n print(v) # Prints \"Good\" and \"Bad\" again\n```\n\n# Questions\n\n1. What do you think about the implementation, @lhoestq?\n2. How to properly test the implementation? I've found [test_iterable_dataset.py](https://github.com/huggingface/datasets/blob/main/tests/test_iterable_dataset.py) but 1) I haven't found any guidelines for testing, 2) the script tests a lot of things while I'd like to test only my feature.",
"Sounds great !\n\nRegarding testing, it's actually possible to have your test function in test_iterable_dataset.py, which you can run using\n\n```python\npytest tests/test_iterable_dataset.py::my_function\n```",
"> Regarding testing, it's actually possible to have your test function in test_iterable_dataset.py, which you can run using\n\nI hoped not to run `pip install -e \".[dev]\"`, but your answer implies that I should. The problem is that I was unable to install the dependencies with Python 3.13 due to `tensorflow` and with Python 3.11-3.12 due to \"there are no versions of pyav\" [¬º-°]¬ Therefore, I had to test in a separate script file to avoid importing optional dependencies. Anyway, I've opened a PR: https://github.com/huggingface/datasets/pull/7564. Please, take a look (there are questions about the documentation).\n\nMoreover, I want to note that `make style` and `pre-commit` give different results for `test_iterable_dataset.py` (and a couple of files). Example:\n```python\n assert skip_ex_iterable.shuffle_data_sources(np.random.default_rng(42)) is skip_ex_iterable, (\n \"skip examples makes the shards order fixed\"\n )\n```\nvs\n```python\n assert (\n skip_ex_iterable.shuffle_data_sources(np.random.default_rng(42)) is skip_ex_iterable\n ), \"skip examples makes the shards order fixed\"\n```\n ¯\\\\_(ツ)_/¯\n\n> Kinda related: https://github.com/huggingface/datasets/issues/5847\n\nI had forgotten about this, but I've looked at it by now. [This comment](https://github.com/huggingface/datasets/issues/5847#issuecomment-1549799951) implies that `IterableColumn` should support chained indexing, so thank you for pointing this out! Did you mean anything else by referencing the issue?",
"> I hoped not to run pip install -e \".[dev]\", but your answer implies that I should. The problem is that I was unable to install the dependencies with Python 3.13 due to tensorflow and with Python 3.11-3.12 due to \"there are no versions of pyav\" [¬º-°]¬ Therefore, I had to test in a separate script file to avoid importing optional dependencies. Anyway, I've opened a PR: https://github.com/huggingface/datasets/pull/7564. Please, take a look (there are questions about the documentation).\n\nwe try to not not require optional dependencies when running tests, so you can try running the tests only with `pytest`, `pytest-datadir` and `pytest-xdist`\n\n> I had forgotten about this, but I've looked at it by now. https://github.com/huggingface/datasets/issues/5847#issuecomment-1549799951 implies that IterableColumn should support chained indexing, so thank you for pointing this out! Did you mean anything else by referencing the issue?\n\nNo I simply referenced the issue because it will enable `pipe(ds[\"column_name\"])`, but no need to support nested fields access in a first step - we can see that later as it's uncommon and would add complexity to the contribution",
"> we try to not not require optional dependencies when running tests, so you can try running the tests only with `pytest`, `pytest-datadir` and `pytest-xdist`\n\nUnderstood. If it's necessary to run the tests again, I'll try to install only the mentioned libraries, thank you!\n\n> No I simply referenced the issue because it will enable pipe(ds[\"column_name\"]), but no need to support nested fields access in a first step - we can see that later as it's uncommon and would add complexity to the contribution\n\nAh, I see. Anyway, I've already implemented chained indexing (it was relatively easy).\n\n@lhoestq, could you please take a look at the PR and answer [questions](https://github.com/huggingface/datasets/pull/7564#issuecomment-2863391781) there?",
"> so you can try running the tests only with pytest, pytest-datadir and pytest-xdist\n\nYes, they are sufficient. There was one more problem with Python 3.12 and `distutils` that were removed, but I just downgraded to 3.11 and successfully ran `test_iterable_dataset.py`.",
"@lhoestq, could you write in the [discussion](https://discuss.huggingface.co/t/how-to-iterate-over-values-of-a-column-in-the-iterabledataset/135649) for people coming there from the Internet that the feature has been implemented? I could do it by myself but the topic is closed to me.",
"done, thanks you !"
] |
2,811,566,116
| 7,380
|
fix: dill default for version bigger 0.3.8
|
closed
| 2025-01-26T13:37:16
| 2025-03-13T20:40:19
| 2025-03-13T20:40:19
|
https://github.com/huggingface/datasets/pull/7380
|
{
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"merged_at": null
}
|
sam-hey
| true
|
[
"`datasets` doesn't support `dill` 0.3.9 yet afaik since `dill` made some changes related to the determinism of dumps\r\n\r\nIt would be cool to investigate (maybe run the `datasets` test) with recent `dill` to see excactly what breaks and if we can make `dill` 0.3.9 work with `datasets`"
] |
2,802,957,388
| 7,378
|
Allow pushing config version to hub
|
open
| 2025-01-21T22:35:07
| 2025-01-30T13:56:56
| null |
https://github.com/huggingface/datasets/issues/7378
| null |
momeara
| false
|
[
"Hi ! This sounds reasonable to me, feel free to open a PR :)"
] |
2,802,723,285
| 7,377
|
Support for sparse arrays with the Arrow Sparse Tensor format?
|
open
| 2025-01-21T20:14:35
| 2025-01-30T14:06:45
| null |
https://github.com/huggingface/datasets/issues/7377
| null |
JulesGM
| false
|
[
"Hi ! Unfortunately the Sparse Tensor structure in Arrow is not part of the Arrow format (yes it's confusing...), so it's not possible to use it in `datasets`. It's a separate structure that doesn't correspond to any type or extension type in Arrow.\n\nThe Arrow community recently added an extension type for fixed shape tensors at https://arrow.apache.org/docs/format/CanonicalExtensions.html#fixed-shape-tensor, it should be possible to contribute an extension type for sparse tensors as well."
] |
2,802,621,104
| 7,376
|
[docs] uv install
|
closed
| 2025-01-21T19:15:48
| 2025-03-14T20:16:35
| 2025-03-14T20:16:35
|
https://github.com/huggingface/datasets/pull/7376
|
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}
|
stevhliu
| true
|
[] |
2,800,609,218
| 7,375
|
vllm批量推理报错
|
open
| 2025-01-21T03:22:23
| 2025-01-30T14:02:40
| null |
https://github.com/huggingface/datasets/issues/7375
| null |
YuShengzuishuai
| false
|
[
"Make sure you have installed a recent version of `soundfile`"
] |
2,793,442,320
| 7,374
|
Remove .h5 from imagefolder extensions
|
closed
| 2025-01-16T18:17:24
| 2025-01-16T18:26:40
| 2025-01-16T18:26:38
|
https://github.com/huggingface/datasets/pull/7374
|
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"merged_at": "2025-01-16T18:26:38"
}
|
lhoestq
| true
|
[] |
2,793,237,139
| 7,373
|
Excessive RAM Usage After Dataset Concatenation concatenate_datasets
|
open
| 2025-01-16T16:33:10
| 2025-03-27T17:40:59
| null |
https://github.com/huggingface/datasets/issues/7373
| null |
sam-hey
| false
|
[
"\n\n\n\nAdding a img from memray\nhttps://gist.github.com/sam-hey/00c958f13fb0f7b54d17197fe353002f",
"I'm having the same issue where concatenation seems to use a huge amount of RAM.\n\n```python\n# Load all chunks and concatenate them into a final dataset.\n chunk_datasets = [\n Dataset.load_from_disk(file, keep_in_memory=False)\n for file in tqdm(chunk_files, desc=\"Loading chunk datasets\")\n ]\n logging.info(\"Concatenating chunk datasets...\")\n final_dataset = concatenate_datasets(chunk_datasets)\n```\n\nThis is a real issue for me as the final dataset is a few terabytes in size. I'm using datasets version `3.1.0`. Also tested with version `3.4.1`",
"I did have a short look, the error seems to be from `memory_map` and the stream not being closed. \n\nhttps://github.com/huggingface/datasets/blob/5f8d2ad9a1b0bccfd962d998987228addfd5be9f/src/datasets/table.py#L48-L50\n\n\nDid not have the time to test jet: https://github.com/sam-hey/datasets/tree/fix/concatenate_datasets\n\nI will probably have a better look in a couple of days. \n\n"
] |
2,791,760,968
| 7,372
|
Inconsistent Behavior Between `load_dataset` and `load_from_disk` When Loading Sharded Datasets
|
open
| 2025-01-16T05:47:20
| 2025-01-16T05:47:20
| null |
https://github.com/huggingface/datasets/issues/7372
| null |
gaohongkui
| false
|
[] |
2,790,549,889
| 7,371
|
500 Server error with pushing a dataset
|
open
| 2025-01-15T18:23:02
| 2025-01-15T20:06:05
| null |
https://github.com/huggingface/datasets/issues/7371
| null |
martinmatak
| false
|
[
"EDIT: seems to be all good now. I'll add a comment if the error happens again within the next 48 hours. If it doesn't, I'll just close the topic."
] |
2,787,972,786
| 7,370
|
Support faster processing using pandas or polars functions in `IterableDataset.map()`
|
closed
| 2025-01-14T18:14:13
| 2025-01-31T11:08:15
| 2025-01-30T13:30:57
|
https://github.com/huggingface/datasets/pull/7370
|
{
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7370",
"html_url": "https://github.com/huggingface/datasets/pull/7370",
"diff_url": "https://github.com/huggingface/datasets/pull/7370.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7370.patch",
"merged_at": "2025-01-30T13:30:57"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7370). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"merging this and will make some docs and communications around using polars for optimizing data processing :)"
] |
2,787,193,238
| 7,369
|
Importing dataset gives unhelpful error message when filenames in metadata.csv are not found in the directory
|
open
| 2025-01-14T13:53:21
| 2025-01-14T15:05:51
| null |
https://github.com/huggingface/datasets/issues/7369
| null |
svencornetsdegroot
| false
|
[
"I'd prefer even more verbose errors; like `\"file123.mp3\" is referenced in metadata.csv, but not found in the data directory '/path/to/audiofolder' ! (and 100+ more missing files)` Or something along those lines."
] |
2,784,272,477
| 7,368
|
Add with_split to DatasetDict.map
|
closed
| 2025-01-13T15:09:56
| 2025-03-08T05:45:02
| 2025-03-07T14:09:52
|
https://github.com/huggingface/datasets/pull/7368
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7368",
"diff_url": "https://github.com/huggingface/datasets/pull/7368.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7368.patch",
"merged_at": "2025-03-07T14:09:52"
}
|
jp1924
| true
|
[
"Can you check this out, @lhoestq?",
"cc @lhoestq @albertvillanova ",
"@lhoestq\r\n",
"@lhoestq\r\n",
"@lhoestq",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7368). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@lhoestq ",
"@lhoestq please...",
"Thank you so much for reviewing this PR! Have a great weekend~"
] |
2,781,522,894
| 7,366
|
Dataset.from_dict() can't handle large dict
|
open
| 2025-01-11T02:05:21
| 2025-01-11T02:05:21
| null |
https://github.com/huggingface/datasets/issues/7366
| null |
CSU-OSS
| false
|
[] |
2,780,216,199
| 7,365
|
A parameter is specified but not used in datasets.arrow_dataset.Dataset.from_pandas()
|
open
| 2025-01-10T13:39:33
| 2025-01-10T13:39:33
| null |
https://github.com/huggingface/datasets/issues/7365
| null |
NourOM02
| false
|
[] |
2,776,929,268
| 7,364
|
API endpoints for gated dataset access requests
|
closed
| 2025-01-09T06:21:20
| 2025-01-09T11:17:40
| 2025-01-09T11:17:20
|
https://github.com/huggingface/datasets/issues/7364
| null |
jerome-white
| false
|
[
"Looks like a [similar feature request](https://github.com/huggingface/huggingface_hub/issues/1198) was made to the HF Hub team. Is handling this at the Hub level more appropriate?\r\n\r\n(As an aside, I've gotten the [HTTP-based solution](https://github.com/huggingface/huggingface_hub/issues/1198#issuecomment-1905774983) proposed in that forum to work for simple cases.)",
"yes it's more for https://github.com/huggingface/huggingface_hub cc @hanouticelina ",
"yes i think @Wauplin's comment on that thread is still what we recommend"
] |
2,774,090,012
| 7,363
|
ImportError: To support decoding images, please install 'Pillow'.
|
open
| 2025-01-08T02:22:57
| 2025-05-28T14:56:53
| null |
https://github.com/huggingface/datasets/issues/7363
| null |
jamessdixon
| false
|
[
"what's your `pip show Pillow` output",
"same issue.. my pip show Pillow output as below:\n\n```\nName: pillow\nVersion: 11.1.0\nSummary: Python Imaging Library (Fork)\nHome-page: https://python-pillow.github.io/\nAuthor: \nAuthor-email: \"Jeffrey A. Clark\" <aclark@aclark.net>\nLicense: MIT-CMU\nLocation: [/opt/homebrew/lib/python3.10/site-packages](https://file+.vscode-resource.vscode-cdn.net/opt/homebrew/lib/python3.10/site-packages)\nRequires: \nRequired-by:\n```",
"I encountered the same problem on Ubuntu system, my pip show Pillow output as below:\n\n```\nName: pillow\nVersion: 10.4.0\nSummary: Python Imaging Library (Fork)\nHome-page: https://python-pillow.org/\nAuthor: \nAuthor-email: \"Jeffrey A. Clark\" <[aclark@aclark.net](mailto:aclark@aclark.net)>\nLicense: HPND\nLocation: /home/shunying/.local/lib/python3.8/site-packages\nRequires: \nRequired-by: \n```\n\nWell, solved this by specifying the pip version to my conda virtual environment :)",
"I have also encountered this. It's a strange thing that's happening.\n\nChecking the code `datasets` it uses `importlib.util.find_spec(\"PIL\")` to verify if `PIL` is installed. While both `pip show` and `importlib` work correctly, I still got the error.\n\nIn my case, restarting and redoing the `datasets` import helped. Seems weird to me."
] |
2,773,731,829
| 7,362
|
HuggingFace CLI dataset download raises error
|
closed
| 2025-01-07T21:03:30
| 2025-01-08T15:00:37
| 2025-01-08T14:35:52
|
https://github.com/huggingface/datasets/issues/7362
| null |
ajayvohra2005
| false
|
[
"I got the same error and was able to resolve it by upgrading from 2.15.0 to 3.2.0.",
"> I got the same error and was able to resolve it by upgrading from 2.15.0 to 3.2.0.\r\n\r\nWhat is needed is upgrading `huggingface-hub==0.27.1`. `datasets` does not appear to have anything to do with the error. The upgrade is a workaround, if the workaround works for your use case. Otherwise, this issue breaks all existing Python clients not using some minimum version of `huggingface-hub`. ",
"Correct, this has to do with `huggingface_hub`, not `datasets`. Some old versions of `huggingface_hub` are unfortunately not robust to recent changes on HF. Updating `huggingface_hub` fixes the issue :)\r\n\r\nClosing this issue since it's not directly related to `datasets`"
] |
2,771,859,244
| 7,361
|
Fix lock permission
|
open
| 2025-01-07T04:15:53
| 2025-01-07T04:49:46
| null |
https://github.com/huggingface/datasets/pull/7361
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7361.patch",
"merged_at": null
}
|
cih9088
| true
|
[] |
2,771,751,406
| 7,360
|
error when loading dataset in Hugging Face: NoneType error is not callable
|
open
| 2025-01-07T02:11:36
| 2025-02-24T13:32:52
| null |
https://github.com/huggingface/datasets/issues/7360
| null |
nanu23333
| false
|
[
"Hi ! I couldn't reproduce on my side, can you try deleting your cache at `~/.cache/huggingface/modules/datasets_modules/datasets/InstaDeepAI--nucleotide_transformer_downstream_tasks_revised` and try again ? For some reason `datasets` wasn't able to find the DatasetBuilder class in the python script of this dataset",
"I've met the same problem when importing [LongBench-v1](https://github.com/THUDM/LongBench/blob/main/LongBench/README.md). the debugger reports `dataset_module.builder_configs_parameters.builder_configs` as `None` so that no `builder_cls` gets created:\n\n<img width=\"711\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/b62bdea7-442b-47dc-b892-87f4d235e324\" />\n\ndoes this mean that I need to downgrade `datasets`?",
"I tried downgrading `datasets` to v2.20.0 and it works fine now...\n\nI think there might be some compatibility issues during code updates between `v2.20.0` and `v3.0.0` 🤔 \n\nalso I suggest @nanu23333 to see if downgrading works.",
"Found the same problem. When I tried to downgrade the datasets to version below v3.0.0, another problem was raised: `UnicodeDecodeError: 'utf-8' codec can't decode byte 0xb5 in position 1: invalid start byte`",
"\nwhen I use the pip install datasets==3.3, I come across the error。Then I \n```\npip uninstall datasets\npip install datasets==2.21.0\n```\nIt is OK now"
] |
2,771,137,842
| 7,359
|
There are multiple 'mteb/arguana' configurations in the cache: default, corpus, queries with HF_HUB_OFFLINE=1
|
open
| 2025-01-06T17:42:49
| 2025-01-06T17:43:31
| null |
https://github.com/huggingface/datasets/issues/7359
| null |
Bhavya6187
| false
|
[
"Related to https://github.com/embeddings-benchmark/mteb/issues/1714"
] |
2,770,927,769
| 7,358
|
Fix remove_columns in the formatted case
|
open
| 2025-01-06T15:44:23
| 2025-01-06T15:46:46
| null |
https://github.com/huggingface/datasets/pull/7358
|
{
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"patch_url": "https://github.com/huggingface/datasets/pull/7358.patch",
"merged_at": null
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7358). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,770,456,127
| 7,357
|
Python process aborded with GIL issue when using image dataset
|
open
| 2025-01-06T11:29:30
| 2025-03-08T15:59:36
| null |
https://github.com/huggingface/datasets/issues/7357
| null |
AlexKoff88
| false
|
[
"The issue seems to come from `pyarrow`, I opened an issue on their side at https://github.com/apache/arrow/issues/45214"
] |
2,770,095,103
| 7,356
|
How about adding a feature to pass the key when performing map on DatasetDict?
|
closed
| 2025-01-06T08:13:52
| 2025-03-24T10:57:47
| 2025-03-24T10:57:47
|
https://github.com/huggingface/datasets/issues/7356
| null |
jp1924
| false
|
[
"@lhoestq \r\nIf it's okay with you, can I work on this?",
"Hi ! Can you give an example of what it would look like to use this new feature ?\r\n\r\nNote that currently you can already do\r\n\r\n```python\r\nds[\"train\"] = ds[\"train\"].map(process_train)\r\nds[\"test\"] = ds[\"test\"].map(process_test)\r\n```",
"@lhoestq \nThanks for the response! \nLet me clarify what I'm looking for with an example:\n\nCurrently, we need to write separate processing functions or call .map() separately:\n```python\n# Current approach\ndef process_train(example):\n # Training-specific processing\n return example\n\ndef process_valid(example):\n # Validation-specific processing\n return example\n\nds[\"train\"] = ds[\"train\"].map(process_train)\nds[\"valid\"] = ds[\"valid\"].map(process_valid)\n```\n\nWhat I'm proposing is to have a single processing function that knows which split it's processing:\n\n```python\n# Proposed feature\ndef process(example, split_key):\n if split_key == \"train\":\n # Training-specific processing\n elif split_key == \"valid\":\n # Validation-specific processing\n return example\n\n# Using with_key=True to pass the split information\nds = ds.map(process, with_key=True)\n```\n\nThis becomes particularly useful when:\n1. The processing logic is heavily shared between splits but needs minor adjustments\n2. You want to maintain the processing logic in one place for better maintainability\n3. The processing function is complex and you want to avoid duplicating code\n\nSo I wanted to request this feature to achieve this kind of functionality. \nI've created a draft PR implementing this: https://github.com/huggingface/datasets/pull/7240/files\n",
"I see ! I think it makes sense, and it's more readable than doing something like this:\r\n```python\r\nfrom functools import partial\r\nds = DatasetDict({key: ds[key].map(partial(process, split_key=key)) for key in ds})\r\n```\r\n\r\nPS: you named the argument `with_key` in your example, but it might be even clearer with it's named `with_split` maybe no ?",
"@lhoestq I agree. \nIt seems better to use `with_split`.\nSo can I open a PR with this change?",
"Sure !"
] |
2,768,958,211
| 7,355
|
Not available datasets[audio] on python 3.13
|
open
| 2025-01-04T18:37:08
| 2025-06-28T00:26:19
| null |
https://github.com/huggingface/datasets/issues/7355
| null |
sergiosinlimites
| false
|
[
"It looks like an issue with `numba` which can't be installed on 3.13 ? `numba` is a dependency of `librosa`, used to decode audio files",
"There seems that `uv` cannot resolve \n\n```bhas\nuv add -n datasets[audio] huggingface-hub[hf-transfer] transformers\n```\n\nThe problem is again `librosa` which depends on `numba` which has as a transitive dep `llvm-lite`\n\n```bash\nRuntimeError: Cannot install on Python version 3.13.3; only versions >=3.6,<3.10 are supported.\n# Python 3.9 works but is quite old and generates some problems with pytorch and numpy 2.0 ....\n```\n\nThe packaging seems problematic...",
"Seems to be solved on https://github.com/huggingface/datasets/commit/161f99d94a1daf8380eabdb826048a0652510ee6#diff-60f61ab7a8d1910d86d9fda2261620314edcae5894d5aaa236b821c7256badd7L140"
] |
2,768,955,917
| 7,354
|
A module that was compiled using NumPy 1.x cannot be run in NumPy 2.0.2 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
|
closed
| 2025-01-04T18:30:17
| 2025-01-08T02:20:58
| 2025-01-08T02:20:58
|
https://github.com/huggingface/datasets/issues/7354
| null |
jamessdixon
| false
|
[
"recreated .venv and run this: pip install diffusers[training]==0.11.1"
] |
2,768,484,726
| 7,353
|
changes to MappedExamplesIterable to resolve #7345
|
closed
| 2025-01-04T06:01:15
| 2025-01-07T11:56:41
| 2025-01-07T11:56:41
|
https://github.com/huggingface/datasets/pull/7353
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7353",
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"patch_url": "https://github.com/huggingface/datasets/pull/7353.patch",
"merged_at": "2025-01-07T11:56:41"
}
|
vttrifonov
| true
|
[
"I noticed that `Dataset.map` has a more complex output depending on `remove_columns`. In particular [this](https://github.com/huggingface/datasets/blob/6457be66e2ef88411281eddc4e7698866a3977f1/src/datasets/arrow_dataset.py#L3371) line removes columns from output if the input is being modified in place (i.e. `input_columns = None`). I tried to mimic this behaviour in `MappedExamplesIterable` by checking if the input and output point to the same dictionary object.",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7353). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,767,763,850
| 7,352
|
fsspec 2024.12.0
|
closed
| 2025-01-03T15:32:25
| 2025-01-03T15:34:54
| 2025-01-03T15:34:11
|
https://github.com/huggingface/datasets/pull/7352
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7352",
"diff_url": "https://github.com/huggingface/datasets/pull/7352.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7352.patch",
"merged_at": "2025-01-03T15:34:11"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7352). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,767,731,707
| 7,350
|
Bump hfh to 0.24 to fix ci
|
closed
| 2025-01-03T15:09:40
| 2025-01-03T15:12:17
| 2025-01-03T15:10:27
|
https://github.com/huggingface/datasets/pull/7350
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7350",
"diff_url": "https://github.com/huggingface/datasets/pull/7350.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7350.patch",
"merged_at": "2025-01-03T15:10:27"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7350). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,767,670,454
| 7,349
|
Webdataset special columns in last position
|
closed
| 2025-01-03T14:32:15
| 2025-01-03T14:34:39
| 2025-01-03T14:32:30
|
https://github.com/huggingface/datasets/pull/7349
|
{
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"html_url": "https://github.com/huggingface/datasets/pull/7349",
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"patch_url": "https://github.com/huggingface/datasets/pull/7349.patch",
"merged_at": "2025-01-03T14:32:30"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7349). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,766,128,230
| 7,348
|
Catch OSError for arrow
|
closed
| 2025-01-02T14:30:00
| 2025-01-09T14:25:06
| 2025-01-09T14:25:04
|
https://github.com/huggingface/datasets/pull/7348
|
{
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7348",
"html_url": "https://github.com/huggingface/datasets/pull/7348",
"diff_url": "https://github.com/huggingface/datasets/pull/7348.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7348.patch",
"merged_at": "2025-01-09T14:25:04"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7348). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,760,282,339
| 7,347
|
Converting Arrow to WebDataset TAR Format for Offline Use
|
closed
| 2024-12-27T01:40:44
| 2024-12-31T17:38:00
| 2024-12-28T15:38:03
|
https://github.com/huggingface/datasets/issues/7347
| null |
katie312
| false
|
[
"Hi,\r\n\r\nI've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:\r\n\r\nimport json\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset(\"pixparse/cc3m-wds\")\r\ndataset.save_to_disk(\"./cc3m_1\")\r\n\r\n\r\nnow I need to convert it to WebDataset's TAR format for offline data ingestion.\r\nIs there a straightforward method to achieve this conversion without an internet connection? Can I simply convert it by\r\n\r\ntar -cvf\r\n\r\n\r\nbtw, when I tried:\r\n\r\nimport webdataset as wds\r\nfrom huggingface_hub import get_token\r\nfrom torch.utils.data import DataLoader\r\n\r\nhf_token = get_token()\r\nurl = \"https://huggingface.co/datasets/timm/imagenet-12k-wds/resolve/main/imagenet12k-train-{{0000..1023}}.tar\"\r\nurl = f\"pipe:curl -s -L {url} -H 'Authorization:Bearer {hf_token}'\"\r\ndataset = wds.WebDataset(url).decode()\r\ndataset.save_to_disk(\"./cc3m_webdataset\")\r\n\r\n\r\nerror occured:\r\n\r\nAttributeError: 'WebDataset' object has no attribute 'save_to_disk'\r\n\r\n\r\nThanks a lot!\r\n\r\nMotivation\r\n\r\nConverting Arrow to WebDataset TAR Format\r\n\r\nYour contribution\r\n\r\nNo clue yet\r\n\r\n\r\nاحصل على Outlook لـ iOS<https://aka.ms/o0ukef>\r\n________________________________\r\nمن: katie312 ***@***.***>\r\nتم الإرسال: Friday, December 27, 2024 4:41:21 AM\r\nإلى: huggingface/datasets ***@***.***>\r\nنسخة: Subscribed ***@***.***>\r\nالموضوع: [huggingface/datasets] Converting Arrow to WebDataset TAR Format for Offline Use (Issue #7347)\r\n\r\n\r\nFeature request\r\n\r\nHi,\r\n\r\nI've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:\r\n\r\nimport json\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset(\"pixparse/cc3m-wds\")\r\ndataset.save_to_disk(\"./cc3m_1\")\r\n\r\n\r\nnow I need to convert it to WebDataset's TAR format for offline data ingestion.\r\nIs there a straightforward method to achieve this conversion without an internet connection? Can I simply convert it by\r\n\r\ntar -cvf\r\n\r\n\r\nbtw, when I tried:\r\n\r\nimport webdataset as wds\r\nfrom huggingface_hub import get_token\r\nfrom torch.utils.data import DataLoader\r\n\r\nhf_token = get_token()\r\nurl = \"https://huggingface.co/datasets/timm/imagenet-12k-wds/resolve/main/imagenet12k-train-{{0000..1023}}.tar\"\r\nurl = f\"pipe:curl -s -L {url} -H 'Authorization:Bearer {hf_token}'\"\r\ndataset = wds.WebDataset(url).decode()\r\ndataset.save_to_disk(\"./cc3m_webdataset\")\r\n\r\n\r\nerror occured:\r\n\r\nAttributeError: 'WebDataset' object has no attribute 'save_to_disk'\r\n\r\n\r\nThanks a lot!\r\n\r\nMotivation\r\n\r\nConverting Arrow to WebDataset TAR Format\r\n\r\nYour contribution\r\n\r\nNo clue yet\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/huggingface/datasets/issues/7347>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AQJDZ2X2RUIIULBJEF5R2HL2HSV4DAVCNFSM6AAAAABUH5QSLCVHI2DSMVQWIX3LMV43ASLTON2WKOZSG43DAMRYGIZTGOI>.\r\nYou are receiving this because you are subscribed to this thread.Message ID: ***@***.***>\r\n",
"> now I need to convert it to WebDataset's TAR format for offline data ingestion.\r\n\r\nyou can directly download the .TAR files from HF using e.g. `huggingface-cli download` and load them in webdataset :)",
"الفله سنه والطبقه يوم\r\n\r\nاحصل على Outlook لـ iOS<https://aka.ms/o0ukef>\r\n________________________________\r\nمن: Quentin Lhoest ***@***.***>\r\nتم الإرسال: Friday, December 27, 2024 4:14:43 PM\r\nإلى: huggingface/datasets ***@***.***>\r\nنسخة: hamad350 ***@***.***>; Comment ***@***.***>\r\nالموضوع: Re: [huggingface/datasets] Converting Arrow to WebDataset TAR Format for Offline Use (Issue #7347)\r\n\r\n\r\nnow I need to convert it to WebDataset's TAR format for offline data ingestion.\r\n\r\nyou can directly download the .TAR files from HF using e.g. huggingface-cli download and load them in webdataset :)\r\n\r\n—\r\nReply to this email directly, view it on GitHub<https://github.com/huggingface/datasets/issues/7347#issuecomment-2563691570>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AQJDZ2R5M3Z7L2MZZYARYID2HVHEHAVCNFSM6AAAAABUH5QSLCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDKNRTGY4TCNJXGA>.\r\nYou are receiving this because you commented.Message ID: ***@***.***>\r\n",
"> > now I need to convert it to WebDataset's TAR format for offline data ingestion.\r\n> \r\n> you can directly download the .TAR files from HF using e.g. `huggingface-cli download` and load them in webdataset :)\r\n\r\nThanks a lot! I completely forgot to use Hugging Face-CLI download. Thanks for the reminding!"
] |
2,758,752,118
| 7,346
|
OSError: Invalid flatbuffers message.
|
closed
| 2024-12-25T11:38:52
| 2025-01-09T14:25:29
| 2025-01-09T14:25:05
|
https://github.com/huggingface/datasets/issues/7346
| null |
antecede
| false
|
[
"Thanks for reporting, it looks like an issue with `pyarrow.ipc.open_stream`\r\n\r\nCan you try installing `datasets` from this pull request and see if it helps ? https://github.com/huggingface/datasets/pull/7348",
"> Thanks for reporting, it looks like an issue with `pyarrow.ipc.open_stream`\r\n> \r\n> Can you try installing `datasets` from this pull request and see if it helps ? #7348\r\n\r\nThank you very much. Here, it also needed to be changed to `except (OSError, pa.lib.ArrowInvalid):`. And then the bug was fixed.\r\nhttps://github.com/huggingface/datasets/blob/2826a040a05e19fca894253b78a932d4fcb4a584/src/datasets/packaged_modules/arrow/arrow.py#L48",
"Cool ! we will do a new release soon :) in the meantime you can use `datasets` from `main`"
] |
2,758,585,709
| 7,345
|
Different behaviour of IterableDataset.map vs Dataset.map with remove_columns
|
closed
| 2024-12-25T07:36:48
| 2025-01-07T11:56:42
| 2025-01-07T11:56:42
|
https://github.com/huggingface/datasets/issues/7345
| null |
vttrifonov
| false
|
[
"Good catch ! Do you think you can open a PR to fix this issue ?"
] |
2,754,735,951
| 7,344
|
HfHubHTTPError: 429 Client Error: Too Many Requests for URL when trying to access SlimPajama-627B or c4 on TPUs
|
closed
| 2024-12-22T16:30:07
| 2025-01-15T05:32:00
| 2025-01-15T05:31:58
|
https://github.com/huggingface/datasets/issues/7344
| null |
clankur
| false
|
[
"Hi ! This is due to your old version of `datasets` which calls HF with `expand=True`, an option that is strongly rate limited.\r\n\r\nRecent versions of `datasets` don't rely on this anymore, you can fix your issue by upgrading `datasets` :)\r\n\r\n```\r\npip install -U datasets\r\n```\r\n\r\nYou can also get maximum HF availability on your compute nodes with HF Enterprise (see [network security features](https://huggingface.co/docs/hub/enterprise-hub-network-security))",
"Upgrading fixed the issue for me. Thanks! "
] |
2,750,525,823
| 7,343
|
[Bug] Inconsistent behavior of data_files and data_dir in load_dataset method.
|
closed
| 2024-12-19T14:31:27
| 2025-01-03T15:54:09
| 2025-01-03T15:54:09
|
https://github.com/huggingface/datasets/issues/7343
| null |
JasonCZH4
| false
|
[
"Hi ! `data_files` with a list is equivalent to `data_files={\"train\": data_files}` with a train test only.\r\n\r\nWhen no split are specified, they are inferred based on file names, and files with no apparent split are ignored",
"Thanks for your reply!\r\n`files with no apparent split are ignored`. Is there a option that I can choose to ignored it or not as I mention aboved? Thanks!",
"To include all the files, the best way is to pass `data_files` yourself. There is no option to disable split detection at the moment",
"Thanks! I hope you guys can consider adding this option in the future. :)"
] |
2,749,572,310
| 7,342
|
Update LICENSE
|
closed
| 2024-12-19T08:17:50
| 2024-12-19T08:44:08
| 2024-12-19T08:44:08
|
https://github.com/huggingface/datasets/pull/7342
|
{
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7342",
"html_url": "https://github.com/huggingface/datasets/pull/7342",
"diff_url": "https://github.com/huggingface/datasets/pull/7342.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7342.patch",
"merged_at": null
}
|
eliebak
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7342). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,745,658,561
| 7,341
|
minor video docs on how to install
|
closed
| 2024-12-17T18:06:17
| 2024-12-17T18:11:17
| 2024-12-17T18:11:15
|
https://github.com/huggingface/datasets/pull/7341
|
{
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7341",
"html_url": "https://github.com/huggingface/datasets/pull/7341",
"diff_url": "https://github.com/huggingface/datasets/pull/7341.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7341.patch",
"merged_at": "2024-12-17T18:11:14"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7341). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,745,473,274
| 7,340
|
don't import soundfile in tests
|
closed
| 2024-12-17T16:49:55
| 2024-12-17T16:54:04
| 2024-12-17T16:50:24
|
https://github.com/huggingface/datasets/pull/7340
|
{
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7340",
"html_url": "https://github.com/huggingface/datasets/pull/7340",
"diff_url": "https://github.com/huggingface/datasets/pull/7340.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7340.patch",
"merged_at": "2024-12-17T16:50:24"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7340). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,745,460,060
| 7,339
|
Update CONTRIBUTING.md
|
closed
| 2024-12-17T16:45:25
| 2024-12-17T16:51:36
| 2024-12-17T16:46:30
|
https://github.com/huggingface/datasets/pull/7339
|
{
"url": "https://api.github.com/repos/huggingface/datasets/pulls/7339",
"html_url": "https://github.com/huggingface/datasets/pull/7339",
"diff_url": "https://github.com/huggingface/datasets/pull/7339.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/7339.patch",
"merged_at": "2024-12-17T16:46:30"
}
|
lhoestq
| true
|
[
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7339). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] |
2,744,877,569
| 7,337
|
One or several metadata.jsonl were found, but not in the same directory or in a parent directory of
|
open
| 2024-12-17T12:58:43
| 2025-01-03T15:28:13
| null |
https://github.com/huggingface/datasets/issues/7337
| null |
mst272
| false
|
[
"Hmmm I double checked in the source code and I found a contradiction: in the current implementation the metadata file is ignored if it's not in the same archive as the zip image somehow:\r\n\r\nhttps://github.com/huggingface/datasets/blob/caa705e8bf4bedf1a956f48b545283b2ca14170a/src/datasets/packaged_modules/folder_based_builder/folder_based_builder.py#L352-L353\r\n\r\nin the tests suite the metadata file is placed inside the archive:\r\n\r\nhttps://github.com/huggingface/datasets/blob/caa705e8bf4bedf1a956f48b545283b2ca14170a/tests/packaged_modules/test_imagefolder.py#L223-L223\r\n\r\nThanks for reporting this issue, it seems the documentation is wrong and we never implemented the support for zip + metadata outside zip. We might rewrite part of this code soon though to make it more flexible, it can be a good occasion to fix this. In the meantime feel free to open a PR to fix the documentation if you'd like"
] |
2,744,746,456
| 7,336
|
Clarify documentation or Create DatasetCard
|
open
| 2024-12-17T12:01:00
| 2024-12-17T12:01:00
| null |
https://github.com/huggingface/datasets/issues/7336
| null |
August-murr
| false
|
[] |
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