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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 4 new columns ({'title', 'url', 'score', 'by'}) and 2 missing columns ({'parent_uuid', 'username'}).

This happened while the json dataset builder was generating data using

hf://datasets/HelixDB/hackernews/stories_100.jsonl (at revision a6e2ccbfd76818bd3677a7da2e4601bd34c5c783)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              uuid: string
              title: string
              text: string
              created_at: timestamp[s]
              by: string
              url: string
              score: int64
              klive: int64
              embedding: list<item: double>
                child 0, item: double
              to
              {'uuid': Value('string'), 'username': Value('string'), 'text': Value('string'), 'created_at': Value('timestamp[s]'), 'klive': Value('int64'), 'parent_uuid': Value('string'), 'embedding': List(Value('float64'))}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 4 new columns ({'title', 'url', 'score', 'by'}) and 2 missing columns ({'parent_uuid', 'username'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/HelixDB/hackernews/stories_100.jsonl (at revision a6e2ccbfd76818bd3677a7da2e4601bd34c5c783)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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uuid
string
username
string
text
string
created_at
timestamp[us]
klive
int64
parent_uuid
string
embedding
list
44629257
pardner
Can we talk about hacking, this being hackernews?A few comments claim the sensors can be triggers by non-smoking events such as hairspray, nail polish remover, perfume...If that is accurate it seems to me one could exploit that sensor flaw by purposefully triggering a false positives with some benign action - and video...
2025-07-20T20:58:48
0
44612487
[ -0.0020980053, 0.0135672465, -0.0074223694, -0.07485336, -0.0035514003, -0.010613797, 0.0039586667, 0.028303606, -0.0046137613, 0.012948857, 0.0023886831, 0.004425836, 0.005251093, 0.049441554, 0.10469823, 0.0053749345, 0.01188004, 0.0014674517, 0.0010004785, 0.006704473, -0....
44623176
unixfox
https://xcancel.com/_ZachGriff/status/1945959030851035223
2025-07-20T08:53:51
0
44612487
[ -0.0068069254, 0.008093869, -0.010954567, -0.10097618, 0.00074323145, 0.023017872, 0.009491173, 0.0035170426, -0.022237467, 0.008463629, -0.005480081, -0.0010488626, 0.0028353455, 0.013603145, 0.1433458, -0.0027794424, 0.00033946618, 0.018817903, -0.012689696, 0.004164864, -0...
44620672
MaintenanceMode
This is in line with Hertz rental car rolling out car scanners to detect any small ding or whatever, to "unlock a new revenue stream." Every single cent will soon be extracted from our pockets. https://www.caranddriver.com/news/a65176049/hertz-ai-scan-re...
2025-07-20T00:08:41
0
44612487
[ 0.0067545907, 0.0124202445, 0.013637064, -0.05691308, 0.0032535137, 0.01410869, 0.008149152, 0.0075387997, -0.014716257, 0.014210828, -0.007830624, 0.008124291, 0.003686983, 0.009372805, 0.14250624, 0.025622025, 0.022052914, 0.01003414, 0.013548534, 0.0050170813, -0.011216444...
44620609
calmbonsai
WJW. Yeah, this definitely seems like a scam.1) Always, always look over the receipts of your expenses.2) When possible, use a dedicated 'travel' credit card for these sorts of things to minimize impact on other accounts.3) Line out that charge, photograph the receipt, and offer to pay only for the rest of the bill. If...
2025-07-19T23:55:04
0
44612487
[ -0.0072430065, 0.0072535747, -0.0005407115, -0.06973091, -0.00056960323, 0.009124782, 0.010115031, 0.017728554, -0.019238267, 0.011320198, 0.0037924969, 0.0022677488, 0.0064969477, -0.0038323444, 0.081932254, -0.010657401, 0.011295971, 0.012284448, 0.017752891, 0.009585375, -...
44620589
1oooqooq
Btw, this is exactly what palantir sells. Pseudo technology to justify whatever you pay it to justify.
2025-07-19T23:51:15
0
44612487
[ 0.0038608776, 0.016781902, -0.0035791048, -0.11561158, 0.010912284, -0.018845882, 0.005759629, -0.00023792822, -0.00046567942, 0.007885796, 0.000529584, -0.007374552, 0.009516067, 0.016326567, 0.11313184, 0.0034554512, 0.013421691, 0.0069064037, 0.019407263, 0.017792402, -0.0...
44620517
wlonkly
Based on the thread and the replies to the thread, it sounds like this is a particular (franchised) hotel, and there are other (franchised) hotels in other brands that are using the same revenue stream. So boycotting Hyatt will not let you avoid ending up at a hotel with these things.
2025-07-19T23:39:42
1
44612487
[ -0.006865979, -0.0060523744, -0.011957556, -0.065457486, -0.009055979, -0.0006369942, -0.0031573372, 0.025661564, -0.023793167, 0.016279813, 0.0024585414, 0.0036167826, 0.004516769, 0.0025517892, 0.108518355, 0.010107023, 0.025662841, 0.012625859, 0.0024011792, 0.020409895, -...
44620189
fortran77
I see in Yelp reviews from other hotels that this is a very common problem now.https://www.tripadvisor.com/ShowUserReviews-g60763-d93520-r9...Look at this review from the "Park Central" in NY. The Management responded that the person agreed to this policy so it's tough luck:> Thank you for sharing your feedback. It's c...
2025-07-19T22:52:12
0
44612487
[ -0.010161429, -0.0038051913, -0.00006544162, -0.05507055, 0.0005612373, 0.0057229945, -0.0023365533, 0.023821855, -0.026895838, 0.0015158961, 0.006977742, 0.0051417346, 0.017043596, 0.014357486, 0.09156318, 0.0004930824, 0.010219006, 0.012115423, 0.008474604, 0.0015944362, -0...
44619954
mmmpetrichor
It would be cool if we had real journalism these days instead of having to find these type of reports on social media.
2025-07-19T22:19:19
0
44612487
[ 0.0012350017, -0.006331485, 0.005280262, -0.08247299, -0.0006728623, 0.0060540433, -0.017501926, 0.015190282, -0.015862253, -0.0037203396, 0.005113087, -0.003437416, 0.014819852, 0.024635708, 0.12148233, 0.009680512, 0.008976612, -0.005408796, 0.015898889, 0.030998528, 0.0067...
44619467
Mistletoe
All I can say is I will never stay at a Hyatt from reading this, so Hyatt and Rest and whoever owns that hotel can sort it all out. I don't smoke.
2025-07-19T21:14:16
0
44612487
[ -0.018247383, -0.008309221, -0.004002793, -0.077842444, -0.0021814564, -0.0095183635, 0.0013235314, 0.025325898, -0.019166214, 0.011805941, 0.00030555573, -0.0071446216, 0.011120288, 0.036010213, 0.10994049, -0.0072294828, 0.0048658415, 0.0075052064, 0.010018961, 0.008800082, ...
44618935
strathmeyer
"Whenever someone charges me a smoking fee I assume they are just saying they don't want me staying (...TRUNCATED)
2025-07-19T20:11:54
0
44612487
[-0.0038387654,-0.0015841437,0.0033311192,-0.05784252,0.0038439757,0.010964278,-0.00011952085,0.0068(...TRUNCATED)
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