irc_disentagle viewer error
DUPLICATED comment from https://github.com/huggingface/datasets/issues/3807:

my code:
```
from datasets import load_dataset

dataset = load_dataset("irc_disentangle", download_mode="force_redownload")
```
however, it produces the same error
```
[38](file:///Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/datasets/utils/info_utils.py?line=37) if len(bad_urls) > 0:
     [39](file:///Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/datasets/utils/info_utils.py?line=38)     error_msg = "Checksums didn't match" + for_verification_name + ":\n"
---> [40](file:///Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/datasets/utils/info_utils.py?line=39)     raise NonMatchingChecksumError(error_msg + str(bad_urls))
     [41](file:///Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/datasets/utils/info_utils.py?line=40) logger.info("All the checksums matched successfully" + for_verification_name)

NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://github.com/jkkummerfeld/irc-disentanglement/tarball/master']
```
I attempted to use the `ignore_verifications' as such:

```
ds = datasets.load_dataset('irc_disentangle', download_mode="force_redownload", ignore_verifications=True)

Downloading builder script: 12.0kB [00:00, 5.92MB/s]                   
Downloading metadata: 7.58kB [00:00, 3.48MB/s]                   
No config specified, defaulting to: irc_disentangle/ubuntu
Downloading and preparing dataset irc_disentangle/ubuntu (download: 112.98 MiB, generated: 60.05 MiB, post-processed: Unknown size, total: 173.03 MiB) to /Users/laylabouzoubaa/.cache/huggingface/datasets/irc_disentangle/ubuntu/1.0.0/0f24ab262a21d8c1d989fa53ed20caa928f5880be26c162bfbc02445dbade7e5...
Downloading data: 118MB [00:09, 12.1MB/s] 
                                                                             
Dataset irc_disentangle downloaded and prepared to /Users/laylabouzoubaa/.cache/huggingface/datasets/irc_disentangle/ubuntu/1.0.0/0f24ab262a21d8c1d989fa53ed20caa928f5880be26c162bfbc02445dbade7e5. Subsequent calls will reuse this data.
100%|██████████| 3/3 [00:00<00:00, 675.38it/s]
```
but, this returns an empty set?
```
DatasetDict({
    train: Dataset({
        features: ['id', 'raw', 'ascii', 'tokenized', 'date', 'connections'],
        num_rows: 0
    })
    test: Dataset({
        features: ['id', 'raw', 'ascii', 'tokenized', 'date', 'connections'],
        num_rows: 0
    })
    validation: Dataset({
        features: ['id', 'raw', 'ascii', 'tokenized', 'date', 'connections'],
        num_rows: 0
    })
})
```
not sure what else to try at this point?
Thanks in advanced🤗 Thanks for reporting, @labouz. I'm addressing it.  The issue with checksum and empty dataset has been fixed by:
- #4377

To load the dataset, you should force the re-generation of the dataset from the downloaded file by passing `download_mode="reuse_cache_if_exists"` to `load_dataset`.

In relation with the issue with the dataset viewer, first the dataset should be refactored to support streaming. parfait!
it works now, thank you 🙏 
the dataviewer shows this message for "ubuntu" - "train", "test", and "validation" splits:
```
Server error
Status code:   400
Exception:     ValueError
Message:       Cannot seek streaming HTTP file

```
it appears to give the same message for the "channel_two" data as well.

I get a Checksums error when using `load_data()` with this dataset. Even with the `download_mode` and `ignore_verifications` options set. i referenced the issue here: https://github.com/huggingface/datasets/issues/3807 