IterableDataset raises FileNotFoundError instead of retrying

### Describe the bug

In https://github.com/huggingface/datasets/issues/6843 it was noted that the streaming feature of `datasets` is highly susceptible to outages and doesn't back off for long (or even *at all*).

I was training a model while streaming SlimPajama and training crashed with a `FileNotFoundError`. I can only assume that this was due to a momentary outage considering the file in question, `train/chunk9/example_train_3889.jsonl.zst`, [exists like all other files in SlimPajama](https://huggingface.co/datasets/cerebras/SlimPajama-627B/blob/main/train/chunk9/example_train_3889.jsonl.zst).
```python
...
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 2226, in __iter__
    for key, example in ex_iterable:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1499, in __iter__
    for x in self.ex_iterable:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1067, in __iter__
    yield from self._iter()
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1231, in _iter
    for key, transformed_example in iter_outputs():
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1207, in iter_outputs
    for i, key_example in inputs_iterator:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1111, in iter_inputs
    for key, example in iterator:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 371, in __iter__
    for key, pa_table in self.generate_tables_fn(**gen_kwags):
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/packaged_modules/json/json.py", line 99, in _generate_tables
    for file_idx, file in enumerate(itertools.chain.from_iterable(files)):
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/track.py", line 50, in __iter__
    for x in self.generator(*self.args):
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/file_utils.py", line 1378, in _iter_from_urlpaths
    raise FileNotFoundError(urlpath)
FileNotFoundError: zstd://example_train_3889.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk9/example_train_3889.jsonl.zst
```

That final `raise` is at the bottom of the following snippet:
https://github.com/huggingface/datasets/blob/f693f4e93aabafa878470c80fd42ddb10ec550d6/src/datasets/utils/file_utils.py#L1354-L1379

So clearly, something choked up in `xisfile`.

### Steps to reproduce the bug

This happens when streaming a dataset and iterating over it. In my case, that iteration is done in Trainer's `inner_training_loop`, but this is not relevant to the iterator.
```python
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/accelerate/data_loader.py", line 835, in __iter__
    next_batch, next_batch_info = self._fetch_batches(main_iterator)
```


### Expected behavior


This bug and the linked issue have one thing in common: *when streaming fails to retrieve an example, the entire program gives up and crashes*. As users, we cannot even protect ourselves from this: when we are iterating over a dataset, we can't make `datasets` skip over a bad example or wait a little longer to retry the iteration, because when a Python generator/iterator raises an error, it loses all its context. 

In other words: if you have something that looks like `for b in a: for c in b: for d in c:`, errors in the innermost loop can only be caught by a `try ... except` in `c.__iter__()`. There should be such exception handling in `datasets` and it should have a **configurable exponential back-off**: first wait and retry after 1 minute, then 2 minutes, then 4 minutes, then 8 minutes, ... and after a given amount of retries, **skip the bad example**, and **only after** skipping a given amount of examples, give up and crash. This was requested in https://github.com/huggingface/datasets/issues/6843 too, since currently there is only linear backoff *and* it is clearly not applied to `xisfile`.


### Environment info

- `datasets` version: 3.3.2 *(the latest version)*
- Platform: Linux-4.18.0-513.24.1.el8_9.x86_64-x86_64-with-glibc2.28
- Python version: 3.11.7
- `huggingface_hub` version: 0.26.5
- PyArrow version: 15.0.0
- Pandas version: 2.2.0
- `fsspec` version: 2024.10.0


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.
```python
FileNotFoundError: zstd://example_train_1215.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk9/example_train_1215.jsonl.zst
```
Below 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.
<details>
<summary>Training log of failed run</summary>

```python
  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
  1%|          | 64/8192 [56:51<87:25:33, 38.72s/it]Retrying in 1s [Retry 1/5].
  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
  2%|▏         | 192/8192 [2:40:53<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].
  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
  2%|▏         | 192/8192 [2:42:16<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].
  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
  2%|▏         | 192/8192 [2:42:30<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].
  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
  2%|▏         | 192/8192 [2:44:31<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].
  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
  2%|▏         | 192/8192 [2:45:13<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].
  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
  2%|▏         | 192/8192 [2:46:26<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].
  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
  2%|▏         | 192/8192 [2:47:24<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].
  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
  2%|▏         | 192/8192 [2:49:10<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].
  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
  2%|▏         | 192/8192 [2:49:30<85:29:44, 38.47s/it]Retrying in 1s [Retry 1/5].
{'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}
{'loss': 10.4895, 'grad_norm': 2.9147818088531494, 'learning_rate': 3.90625e-06, 'epoch': 0.0, 'num_input_tokens_seen': 1048576}
{'loss': 10.4832, 'grad_norm': 2.8206892013549805, 'learning_rate': 7.8125e-06, 'epoch': 0.0, 'num_input_tokens_seen': 2097152}
{'loss': 10.4851, 'grad_norm': 2.910552978515625, 'learning_rate': 1.171875e-05, 'epoch': 0.0, 'num_input_tokens_seen': 3145728}
{'loss': 10.486, 'grad_norm': 2.8042073249816895, 'learning_rate': 1.5625e-05, 'epoch': 0.0, 'num_input_tokens_seen': 4194304}
{'loss': 10.4719, 'grad_norm': 2.83260440826416, 'learning_rate': 1.953125e-05, 'epoch': 0.0, 'num_input_tokens_seen': 5242880}
{'loss': 10.4482, 'grad_norm': 2.916527032852173, 'learning_rate': 2.34375e-05, 'epoch': 0.0, 'num_input_tokens_seen': 6291456}
{'loss': 10.4113, 'grad_norm': 2.911870241165161, 'learning_rate': 2.734375e-05, 'epoch': 0.0, 'num_input_tokens_seen': 7340032}
{'loss': 10.3863, 'grad_norm': 2.8873367309570312, 'learning_rate': 3.125e-05, 'epoch': 0.0, 'num_input_tokens_seen': 8388608}
{'loss': 10.3557, 'grad_norm': 2.7183432579040527, 'learning_rate': 3.5156250000000004e-05, 'epoch': 0.0, 'num_input_tokens_seen': 9437184}
{'loss': 10.2795, 'grad_norm': 2.6743927001953125, 'learning_rate': 3.90625e-05, 'epoch': 0.0, 'num_input_tokens_seen': 10485760}
{'loss': 10.2148, 'grad_norm': 2.3173940181732178, 'learning_rate': 4.296875e-05, 'epoch': 0.0, 'num_input_tokens_seen': 11534336}
{'loss': 10.1482, 'grad_norm': 2.09787917137146, 'learning_rate': 4.6875e-05, 'epoch': 0.0, 'num_input_tokens_seen': 12582912}
{'loss': 10.1024, 'grad_norm': 1.889390468597412, 'learning_rate': 5.0781250000000004e-05, 'epoch': 0.0, 'num_input_tokens_seen': 13631488}
{'loss': 10.0418, 'grad_norm': 1.8319090604782104, 'learning_rate': 5.46875e-05, 'epoch': 0.0, 'num_input_tokens_seen': 14680064}
{'loss': 10.0081, 'grad_norm': 1.7302652597427368, 'learning_rate': 5.859375e-05, 'epoch': 0.0, 'num_input_tokens_seen': 15728640}
{'loss': 9.9525, 'grad_norm': 1.767600417137146, 'learning_rate': 6.25e-05, 'epoch': 0.0, 'num_input_tokens_seen': 16777216}
{'loss': 9.9326, 'grad_norm': 2.1608240604400635, 'learning_rate': 6.640625e-05, 'epoch': 0.0, 'num_input_tokens_seen': 17825792}
{'loss': 9.8478, 'grad_norm': 1.7399269342422485, 'learning_rate': 7.031250000000001e-05, 'epoch': 0.0, 'num_input_tokens_seen': 18874368}
{'loss': 9.8215, 'grad_norm': 1.6564425230026245, 'learning_rate': 7.421875e-05, 'epoch': 0.0, 'num_input_tokens_seen': 19922944}
{'loss': 9.7732, 'grad_norm': 1.6452653408050537, 'learning_rate': 7.8125e-05, 'epoch': 0.0, 'num_input_tokens_seen': 20971520}
{'loss': 9.6896, 'grad_norm': 1.7053238153457642, 'learning_rate': 8.203125e-05, 'epoch': 0.0, 'num_input_tokens_seen': 22020096}
{'loss': 9.6356, 'grad_norm': 1.7050201892852783, 'learning_rate': 8.59375e-05, 'epoch': 0.0, 'num_input_tokens_seen': 23068672}
{'loss': 9.5781, 'grad_norm': 1.7155998945236206, 'learning_rate': 8.984375e-05, 'epoch': 0.0, 'num_input_tokens_seen': 24117248}
{'loss': 9.5355, 'grad_norm': 1.697864294052124, 'learning_rate': 9.375e-05, 'epoch': 0.0, 'num_input_tokens_seen': 25165824}
{'loss': 9.4718, 'grad_norm': 1.7598071098327637, 'learning_rate': 9.765625e-05, 'epoch': 0.0, 'num_input_tokens_seen': 26214400}
{'loss': 9.3972, 'grad_norm': 1.7407673597335815, 'learning_rate': 0.00010156250000000001, 'epoch': 0.0, 'num_input_tokens_seen': 27262976}
{'loss': 9.3303, 'grad_norm': 1.7710134983062744, 'learning_rate': 0.00010546875, 'epoch': 0.0, 'num_input_tokens_seen': 28311552}
{'loss': 9.2973, 'grad_norm': 1.716180682182312, 'learning_rate': 0.000109375, 'epoch': 0.0, 'num_input_tokens_seen': 29360128}
{'loss': 9.2049, 'grad_norm': 1.7579947710037231, 'learning_rate': 0.00011328125, 'epoch': 0.0, 'num_input_tokens_seen': 30408704}
{'loss': 9.1656, 'grad_norm': 1.6988558769226074, 'learning_rate': 0.0001171875, 'epoch': 0.0, 'num_input_tokens_seen': 31457280}
{'loss': 9.0966, 'grad_norm': 1.7036350965499878, 'learning_rate': 0.00012109375, 'epoch': 0.0, 'num_input_tokens_seen': 32505856}
{'loss': 9.0107, 'grad_norm': 1.752451777458191, 'learning_rate': 0.000125, 'epoch': 0.0, 'num_input_tokens_seen': 33554432}
{'loss': 8.9788, 'grad_norm': 1.6769776344299316, 'learning_rate': 0.00012890625, 'epoch': 0.0, 'num_input_tokens_seen': 34603008}
{'loss': 8.9155, 'grad_norm': 1.6497987508773804, 'learning_rate': 0.0001328125, 'epoch': 0.0, 'num_input_tokens_seen': 35651584}
{'loss': 8.8008, 'grad_norm': 1.722798466682434, 'learning_rate': 0.00013671875, 'epoch': 0.0, 'num_input_tokens_seen': 36700160}
{'loss': 8.7727, 'grad_norm': 1.6046854257583618, 'learning_rate': 0.00014062500000000002, 'epoch': 0.0, 'num_input_tokens_seen': 37748736}
{'loss': 8.682, 'grad_norm': 1.6132164001464844, 'learning_rate': 0.00014453125, 'epoch': 0.0, 'num_input_tokens_seen': 38797312}
{'loss': 8.6516, 'grad_norm': 1.558968424797058, 'learning_rate': 0.0001484375, 'epoch': 0.0, 'num_input_tokens_seen': 39845888}
{'loss': 8.5935, 'grad_norm': 1.6083673238754272, 'learning_rate': 0.00015234375, 'epoch': 0.0, 'num_input_tokens_seen': 40894464}
{'loss': 8.4852, 'grad_norm': 1.5469273328781128, 'learning_rate': 0.00015625, 'epoch': 0.0, 'num_input_tokens_seen': 41943040}
{'loss': 8.4342, 'grad_norm': 1.46219801902771, 'learning_rate': 0.00016015625, 'epoch': 0.01, 'num_input_tokens_seen': 42991616}
{'loss': 8.3213, 'grad_norm': 1.473191261291504, 'learning_rate': 0.0001640625, 'epoch': 0.01, 'num_input_tokens_seen': 44040192}
{'loss': 8.3193, 'grad_norm': 1.4024137258529663, 'learning_rate': 0.00016796875000000001, 'epoch': 0.01, 'num_input_tokens_seen': 45088768}
{'loss': 8.1853, 'grad_norm': 1.3591463565826416, 'learning_rate': 0.000171875, 'epoch': 0.01, 'num_input_tokens_seen': 46137344}
{'loss': 8.1109, 'grad_norm': 1.3547109365463257, 'learning_rate': 0.00017578125, 'epoch': 0.01, 'num_input_tokens_seen': 47185920}
{'loss': 8.0741, 'grad_norm': 1.268977403640747, 'learning_rate': 0.0001796875, 'epoch': 0.01, 'num_input_tokens_seen': 48234496}
{'loss': 8.0032, 'grad_norm': 1.222671389579773, 'learning_rate': 0.00018359375, 'epoch': 0.01, 'num_input_tokens_seen': 49283072}
{'loss': 7.9346, 'grad_norm': 1.154278039932251, 'learning_rate': 0.0001875, 'epoch': 0.01, 'num_input_tokens_seen': 50331648}
{'loss': 7.8823, 'grad_norm': 1.1396397352218628, 'learning_rate': 0.00019140625, 'epoch': 0.01, 'num_input_tokens_seen': 51380224}
{'loss': 7.8444, 'grad_norm': 1.0608373880386353, 'learning_rate': 0.0001953125, 'epoch': 0.01, 'num_input_tokens_seen': 52428800}
{'loss': 7.7794, 'grad_norm': 1.0165436267852783, 'learning_rate': 0.00019921875000000001, 'epoch': 0.01, 'num_input_tokens_seen': 53477376}
{'loss': 7.7567, 'grad_norm': 0.8742461204528809, 'learning_rate': 0.00020312500000000002, 'epoch': 0.01, 'num_input_tokens_seen': 54525952}
{'loss': 7.6489, 'grad_norm': 0.8699902296066284, 'learning_rate': 0.00020703125, 'epoch': 0.01, 'num_input_tokens_seen': 55574528}
{'loss': 7.6062, 'grad_norm': 0.809831440448761, 'learning_rate': 0.0002109375, 'epoch': 0.01, 'num_input_tokens_seen': 56623104}
{'loss': 7.5511, 'grad_norm': 0.7423847317695618, 'learning_rate': 0.00021484375, 'epoch': 0.01, 'num_input_tokens_seen': 57671680}
{'loss': 7.4435, 'grad_norm': 0.7614696025848389, 'learning_rate': 0.00021875, 'epoch': 0.01, 'num_input_tokens_seen': 58720256}
{'loss': 7.564, 'grad_norm': 0.5147746801376343, 'learning_rate': 0.00022265625, 'epoch': 0.01, 'num_input_tokens_seen': 59768832}
{'loss': 7.5278, 'grad_norm': 0.4705545902252197, 'learning_rate': 0.0002265625, 'epoch': 0.01, 'num_input_tokens_seen': 60817408}
{'loss': 7.5479, 'grad_norm': 0.3745419979095459, 'learning_rate': 0.00023046875000000001, 'epoch': 0.01, 'num_input_tokens_seen': 61865984}
{'loss': 7.4759, 'grad_norm': 0.3893500566482544, 'learning_rate': 0.000234375, 'epoch': 0.01, 'num_input_tokens_seen': 62914560}
{'loss': 7.5032, 'grad_norm': 0.31959569454193115, 'learning_rate': 0.00023828125, 'epoch': 0.01, 'num_input_tokens_seen': 63963136}
{'loss': 7.421, 'grad_norm': 0.3203206956386566, 'learning_rate': 0.0002421875, 'epoch': 0.01, 'num_input_tokens_seen': 65011712}
{'loss': 7.4998, 'grad_norm': 0.2730390429496765, 'learning_rate': 0.00024609375, 'epoch': 0.01, 'num_input_tokens_seen': 66060288}
{'loss': 7.4157, 'grad_norm': 0.34872403740882874, 'learning_rate': 0.00025, 'epoch': 0.01, 'num_input_tokens_seen': 67108864}
[2025-03-10 16:17:04 WARNING] '(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
[2025-03-10 16:17:04 WARNING] Retrying in 1s [Retry 1/5].
{'eval_loss': 7.471163749694824, 'eval_runtime': 651.4801, 'eval_samples_per_second': 25.149, 'eval_steps_per_second': 0.196, 'epoch': 0.01, 'num_input_tokens_seen': 67108864}
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[2025-03-10 18:01:06 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-10 18:02:30 WARNING] '(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
[2025-03-10 18:02:30 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-10 18:02:44 WARNING] '(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
[2025-03-10 18:02:44 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-10 18:04:45 WARNING] '(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
[2025-03-10 18:04:45 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-10 18:05:26 WARNING] '(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
[2025-03-10 18:05:26 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-10 18:06:39 WARNING] '(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
[2025-03-10 18:06:39 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-10 18:07:37 WARNING] '(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
[2025-03-10 18:07:37 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-10 18:09:23 WARNING] '(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
[2025-03-10 18:09:23 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-10 18:09:44 WARNING] '(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
[2025-03-10 18:09:44 WARNING] Retrying in 1s [Retry 1/5].
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{'loss': 3.8173, 'grad_norm': 0.4666613042354584, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 472907776}
{'loss': 3.6884, 'grad_norm': 0.4581243097782135, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 473956352}
{'loss': 3.789, 'grad_norm': 0.4697781205177307, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 475004928}
{'loss': 3.8791, 'grad_norm': 0.5336131453514099, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 476053504}
{'loss': 3.8077, 'grad_norm': 0.5709654092788696, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 477102080}
{'loss': 3.8421, 'grad_norm': 0.5592761039733887, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 478150656}
{'loss': 3.8135, 'grad_norm': 0.4490680694580078, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 479199232}
{'loss': 3.7535, 'grad_norm': 0.3931736648082733, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 480247808}
{'loss': 3.7885, 'grad_norm': 0.41578060388565063, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 481296384}
{'loss': 3.6255, 'grad_norm': 0.429817795753479, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 482344960}
{'loss': 3.7202, 'grad_norm': 0.49616578221321106, 'learning_rate': 0.001, 'epoch': 0.06, 'num_input_tokens_seen': 483393536}
  9%|▊         | 704/8192 [9:33:48<79:08:04, 38.05s/it]'(ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read 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
  9%|▊         | 704/8192 [9:38:28<79:08:04, 38.05s/it]Retrying in 1s [Retry 1/5].
  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
  9%|▊         | 704/8192 [9:44:58<79:08:04, 38.05s/it]Retrying in 1s [Retry 1/5].
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[2025-03-11 02:50:38 WARNING] '(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
[2025-03-11 02:50:39 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-11 02:58:37 WARNING] '(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
[2025-03-11 02:58:37 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-11 03:00:11 WARNING] '(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
[2025-03-11 03:00:11 WARNING] Retrying in 1s [Retry 1/5].
[2025-03-11 03:01:14 WARNING] '(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
[2025-03-11 03:01:14 WARNING] Retrying in 1s [Retry 1/5].
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{'loss': 2.8503, 'grad_norm': 0.35816267132759094, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 938475520}
{'loss': 3.0328, 'grad_norm': 0.3540339469909668, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 939524096}
[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
[2025-03-11 03:46:08 WARNING] Retrying in 1s [Retry 1/5].
[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
[2025-03-11 03:53:27 WARNING] Retrying in 1s [Retry 1/5].
{'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}
{'loss': 2.9368, 'grad_norm': 0.34962671995162964, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 940572672}
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[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
[2025-03-11 04:13:12 WARNING] Retrying in 1s [Retry 1/5].
{'loss': 2.8089, 'grad_norm': 0.3657573163509369, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 967835648}
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{'loss': 2.8515, 'grad_norm': 0.4324709177017212, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 984612864}
{'loss': 2.5684, 'grad_norm': 0.3579341471195221, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 985661440}
{'loss': 2.9478, 'grad_norm': 0.4081536531448364, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 986710016}
{'loss': 2.7375, 'grad_norm': 0.4332145154476166, 'learning_rate': 0.001, 'epoch': 0.11, 'num_input_tokens_seen': 987758592}
{'loss': 2.7773, 'grad_norm': 0.43510711193084717, 'learning_rate': 0.001, 'epoch': 0.12, 'num_input_tokens_seen': 988807168}
...
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/file_utils.py", line 1378, in _iter_from_urlpaths
    raise FileNotFoundError(urlpath)
FileNotFoundError: zstd://example_train_1215.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk9/example_train_1215.jsonl.zst
```

</details>

Two more today:
```python
FileNotFoundError: zstd://example_holdout_5012.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk4/example_holdout_5012.jsonl.zst
```
and
```python
FileNotFoundError: zstd://example_holdout_3073.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/validation/chunk2/example_holdout_3073.jsonl.zst
```
both 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.
```python
...
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 2226, in __iter__
    for key, example in ex_iterable:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1499, in __iter__
    for x in self.ex_iterable:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1067, in __iter__
    yield from self._iter()
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1231, in _iter
    for key, transformed_example in iter_outputs():
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1207, in iter_outputs
    for i, key_example in inputs_iterator:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1111, in iter_inputs
    for key, example in iterator:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 371, in __iter__
    for key, pa_table in self.generate_tables_fn(**gen_kwags):
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/packaged_modules/json/json.py", line 114, in _generate_tables
    with open(file, "rb") as f:
         ^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/streaming.py", line 75, in wrapper
    return function(*args, download_config=download_config, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/file_utils.py", line 948, in xopen
    file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/core.py", line 147, in open
    return self.__enter__()
           ^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/core.py", line 105, in __enter__
    f = self.fs.open(self.path, mode=mode)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/spec.py", line 1301, in open
    f = self._open(
        ^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/filesystems/compression.py", line 85, in _open
    return self._open_with_fsspec().open()
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/core.py", line 147, in open
    return self.__enter__()
           ^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/core.py", line 105, in __enter__
    f = self.fs.open(self.path, mode=mode)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/fsspec/spec.py", line 1301, in open
    f = self._open(
        ^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py", line 234, in _open
    return HfFileSystemFile(self, path, mode=mode, revision=revision, block_size=block_size, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py", line 691, in __init__
    self.details = fs.info(self.resolved_path.unresolve(), expand_info=False)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py", line 524, in info
    self.ls(parent_path, expand_info=False)
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py", line 284, in ls
    out = self._ls_tree(path, refresh=refresh, revision=revision, **kwargs)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_file_system.py", line 375, in _ls_tree
    for path_info in tree:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/hf_api.py", line 3080, in list_repo_tree
    for path_info in paginate(path=tree_url, headers=headers, params={"recursive": recursive, "expand": expand}):
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/utils/_pagination.py", line 46, in paginate
    hf_raise_for_status(r)
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/huggingface_hub/utils/_http.py", line 477, in hf_raise_for_status
    raise _format(HfHubHTTPError, str(e), response) from e
huggingface_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
```

Another one today:
```python
FileNotFoundError: zstd://example_train_4985.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk5/example_train_4985.jsonl.zst
```

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.

Muennighoff/natural-instructions:
```
  File "/home/crow/repos/praxis/.venv/lib/python3.13/site-packages/datasets/utils/file_utils.py", line 1379, in _iter_from_urlpaths
    raise FileNotFoundError(urlpath)
FileNotFoundError: hf://datasets/Muennighoff/natural-instructions@a29a9757125f4bb1c26445ad0d2ef7d9b2cc9c4c/train/task343_winomt_classification_profession_anti_train.jsonl
```
open-phi/textbooks:
```
  File "/home/crow/repos/praxis/.venv/lib/python3.13/site-packages/datasets/utils/file_utils.py", line 1379, in _iter_from_urlpaths
    raise FileNotFoundError(urlpath)
FileNotFoundError: hf://datasets/open-phi/textbooks@292aaae99cbecacad50f692d7327887f05dacaf2/data/train-00000-of-00001-b513d9e388d56453.parquet
```
HuggingFaceTB/smoltalk:
```
  File "/home/crow/repos/praxis/.venv/lib/python3.13/site-packages/datasets/utils/file_utils.py", line 1379, in _iter_from_urlpaths
    raise FileNotFoundError(urlpath)
FileNotFoundError: hf://datasets/HuggingFaceTB/smoltalk@5feaf2fd3ffca7c237fc38d1861bc30365d48ffa/data/all/train-00003-of-00009.parquet
```

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.

A week ago:
```python
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
    generator=generator, features=features, gen_kwargs=gen_kwargs, streaming=True, split=split
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1558, in __iter__
    )
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1107, in __iter__
    # If `batched`, first build the batch, if `batch_size` is None or <=0, then the batch is the whole dataset
    ^^^^^^^^^^^^^^^^^^^^^^^
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1286, in _iter
    iterator = _convert_to_arrow(
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1267, in iter_outputs
    num_examples_to_skip -= 1
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1156, in iter_inputs
    additional_args = ()
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 397, in __iter__
    shard_example_idx_start = self._state_dict["shard_example_idx"] if self._state_dict else 0
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/packaged_modules/json/json.py", line 99, in _generate_tables
    for file_idx, file in enumerate(itertools.chain.from_iterable(files)):
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/track.py", line 49, in __iter__
    for x in self.generator(*self.args):
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/file_utils.py", line 1359, in _iter_from_urlpaths
    cls, urlpaths: Union[str, list[str]], download_config: Optional[DownloadConfig] = None
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: zstd://example_train_1820.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk2/example_train_1820.jsonl.zst
```
Today:
```python
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 2270, in __iter__
    for key, example in ex_iterable:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1535, in __iter__
    for x in self.ex_iterable:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1084, in __iter__
    yield from self._iter()
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1263, in _iter
    for key, transformed_example in outputs:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1244, in iter_outputs
    for i, key_example in inputs_iterator:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 1133, in iter_inputs
    for key, example in iterator:
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/iterable_dataset.py", line 374, in __iter__
    for key, pa_table in self.generate_tables_fn(**gen_kwags):
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/packaged_modules/json/json.py", line 99, in _generate_tables
    for file_idx, file in enumerate(itertools.chain.from_iterable(files)):
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/track.py", line 49, in __iter__
    for x in self.generator(*self.args):
  File "/miniconda3/envs/draft/lib/python3.11/site-packages/datasets/utils/file_utils.py", line 1379, in _iter_from_urlpaths
    raise FileNotFoundError(urlpath)
FileNotFoundError: zstd://example_train_5054.jsonl::hf://datasets/cerebras/SlimPajama-627B@2d0accdd58c5d5511943ca1f5ff0e3eb5e293543/train/chunk1/example_train_5054.jsonl.zst
```
Seriously?

Same issue here. Nothing has improved until today. This streaming mode is completely unreliable.

@rudolfwilliam - nearly all of my issues were resolved by using a `${HF_TOKEN}` containing my API key. I believe that I was hitting rate-limits for unauthenticated datasets sessions. As soon as I started using a key, I don't think I've hit those same problems ever again.

Ok, thank you for the comment. I will check this out.

Actually, this cannot be the issue. I had already set the `${HF_TOKEN}`. I was suspecting that the problem could be related to some rate limit (https://huggingface.co/docs/hub/rate-limits). However, in this case I would expect to get an `429 Too Many Requests` instead of `FileNotFoundError`.