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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
sku: string
n_reviews: int64
avg_stars: double
last_ts: timestamp[ns, tz=UTC]
agg_text: string
avg_rating: double
review_count: int64
texts: list<element: string>
  child 0, element: string
rating_std: double
color_tags: list<element: string>
  child 0, element: string
motif_tags: list<element: string>
  child 0, element: string
top_review_phrases: list<element: string>
  child 0, element: string
bm25_text: string
keywords: list<element: string>
  child 0, element: string
last_updated: timestamp[us, tz=UTC]
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1934
to
{'sku': Value('string'), 'n_reviews': Value('int64'), 'avg_stars': Value('float64'), 'last_ts': Value('timestamp[ns, tz=UTC]'), 'agg_text': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1405, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 597, in fill_builder_info
                  num_examples_and_sizes: list[tuple[int, int]] = thread_map(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
                  return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
                  return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1169, in __iter__
                  for obj in iterable:
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 609, in result_iterator
                  yield fs.pop().result()
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 446, in result
                  return self.__get_result()
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
                  raise self._exception
                File "/usr/local/lib/python3.9/concurrent/futures/thread.py", line 58, in run
                  result = self.fn(*self.args, **self.kwargs)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 469, in retry_validate_get_num_examples_and_size
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 535, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 1016250633 which exceeds the limit of 300000000
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 692, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              sku: string
              n_reviews: int64
              avg_stars: double
              last_ts: timestamp[ns, tz=UTC]
              agg_text: string
              avg_rating: double
              review_count: int64
              texts: list<element: string>
                child 0, element: string
              rating_std: double
              color_tags: list<element: string>
                child 0, element: string
              motif_tags: list<element: string>
                child 0, element: string
              top_review_phrases: list<element: string>
                child 0, element: string
              bm25_text: string
              keywords: list<element: string>
                child 0, element: string
              last_updated: timestamp[us, tz=UTC]
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1934
              to
              {'sku': Value('string'), 'n_reviews': Value('int64'), 'avg_stars': Value('float64'), 'last_ts': Value('timestamp[ns, tz=UTC]'), 'agg_text': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1428, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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sku
string
n_reviews
int64
avg_stars
float64
last_ts
timestamp[ns, tz=UTC]
agg_text
string
0006641040
37
4.351
null
All of my children love this book. My first grader got it for Christmas and loves to read the rhymes. She is proud that she can do it herself. (Each month her teacher works on a month from the book with the class-not that she reads independently yet.) My girls especially enjoy reading the month they were born and singi...
0528881469
5
2.4
2013-06-02T00:00:00
We got this GPS for my husband who is an (OTR) over the road trucker. Very Impressed with the shipping time, it arrived a few days earlier than expected... within a week of use however it started freezing up... could of just been a glitch in that unit. Worked great when it worked! Will work great for the normal person ...
0594451647
5
4.2
2014-07-11T00:00:00
This adaptor is real easy to setup and use right out of the box. I had not problem with it at all, it is well worth the purchase. I recommend this adaptor very much for viewing your Nook videos on your HDTV. I just disagree with other reviews on the length of the adaptor, I found it to be fairly adequate as to how and ...
0594481813
8
4
2014-05-05T00:00:00
bought for a spare for my 9&#34; Nook HD and it fit perfectly. Very satisfied with the price much less than on the BN site I lost my B&N original cable. I looked around for an new one. I tried a different, cheaper model but it didn't fit my device properly so back to the drawing board. I ordered this one. I am satisfi...
0972683275
218
4.459
2014-07-12T00:00:00
This is a great buy, compared to a $60 or more a retail store. It is better than spending twice the money on this going into a brick and mortar store. Was very pleased. Nice quality still works great... very happy with this purchase... need to add 10 more words.. so what can I say its a wall mount that I haven't had ...
1400501466
43
3.953
2014-05-05T00:00:00
I love using this. It's light and easy and fast! LOVE that is has hte capability of Google Play on it! So hard to find things that are compatible This thing has been through so much. Closed in doors, thrown across the room, been the object of desire in a toddler tug of war and it still keep working. It i just fantasti...
1400501520
17
4.294
2014-03-20T00:00:00
I got this for my little girl, as she filled up her 8gb tablet with games. We just love the Nook HD tablets. The fact they have Google Play, and you can change the background to a nice picture, makes these tablets superior in most ways, to the Kindle Fire. Yes, the Fires have their own advantages (we have some) but ove...
1400501776
16
3.938
2013-12-01T00:00:00
Excellent display quality. It runs fast, and does have more memory than its predecesor. The size is appropriate for my day to day needs. I assumed that I had the 16gb model but the box was misbranded and my bad for not paying attention,too late to take back to the store but it is still a very good tablet and the memor...
1400532620
41
3.61
2014-06-21T00:00:00
"I ordered this product and it was not what I wanted. I ordered the wrong one. I contacted the compa(...TRUNCATED)
1400532655
104
3.788
2014-07-14T00:00:00
"My friend loves her nook.I purchased it as a gift to my friend,already own one. \nI don't know why (...TRUNCATED)
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