The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 2 fields in line 7, saw 8
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
nrows
^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 2 fields in line 7, saw 8Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Storika Creator Benchmarks - Open Slice (2026-Q2)
Aggregated, anonymized TikTok reach and engagement benchmarks plus sponsored-content rate bands from Storika's creator dataset.
This release contains 675 country-by-category reach and engagement cells and 5 rate-band cells.
Every cell clears a 30-distinct-creator anonymity floor.
The full, current, and finer-grained data lives at storika.ai.
Files
storika-creator-reach-engagement-2026-Q2.csvcontains country x normalized top-level category cells, distinct-creator countk, median followers, median engagement rate, and confidence.storika-creator-rate-bands-2026-Q2.csvcontains platform x content format x market cells, distinct-creator countk, and p25-p75 rate-band edges in USD.HEADER.txtcontains the release provenance and license block.
Methodology
Each comma-separated top-level category is normalized independently, so category order does not change membership.
Creators with several categories contribute once to each declared category, and every cell counts distinct creators rather than rows.
Only source records last updated before the end of 2026-Q2 are eligible.
Creators on Storika's denylist are excluded from both profile and rate aggregates.
Rate bands convert KRW quotes at 1,470 KRW per USD, and markets remain separate.
Reach and engagement medians use two significant figures, while rate-band edges round to the nearest $10.
Confidence is high at k >= 100 and medium at k = 30-99.
What is withheld
The current quarter, all back-series, subcategories, follower-tier and language axes, rate medians, full rate distributions, and every per-creator row are withheld.
License
CC BY 4.0. Attribution required: "Source: Storika Creator Benchmarks (2026-Q2), https://www.storika.ai".
About Storika
Storika is an AI-powered creator-marketing platform for creator discovery, outreach, and verified post tracking.
Teams that need current-quarter data, finer grain, or campaign benchmarks can start free.
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