The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
Your Setup: string
Line Choice: string
Why: string
vs
Reel Class: string
Lure Weight (oz): string
Lure Weight (g): string
Mono / Fluoro (lb): string
Mono / Fluoro (kg): string
Braid (lb test): string
Braid (kg test): string
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 4523, 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 2768, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 591, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5012, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
return check_status(status)
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
Your Setup: string
Line Choice: string
Why: string
vs
Reel Class: string
Lure Weight (oz): string
Lure Weight (g): string
Mono / Fluoro (lb): string
Mono / Fluoro (kg): string
Braid (lb test): string
Braid (kg test): stringNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Baitcaster Setup Reference Data
Plain-text reference tables for baitcasting reel setup, extracted from the published guides on Baitcaster Tips.
The point of this dataset is that the numbers are in a format you can diff, chart, import, or check against your own tackle — instead of being locked inside a web page.
What is in here
| File | What it holds |
|---|---|
data/line-weight-by-lure-class.csv |
Reel class → lure weight → mono/fluoro lb → braid lb, with gram and kilogram conversions |
data/wind-adjustment.csv |
How to shift line weight, brake clicks and expected distance as wind speed rises |
data/braid-vs-mono-decision.csv |
Setup → line choice → the reason, for four common baitcaster setups |
data/backlash-diagnosis-order.md |
The five things to check when a baitcaster backlashes on every cast, in order |
data/backlash-nest-grading.md |
How to grade a bird's nest as light / buried / severe, and which method each grade takes |
data/spool-tension-vs-brake.md |
Why spool tension and brake are not the same control, and what each one affects |
LICENSE |
CC0 1.0 Universal legal code |
Conventions
- Decimal values use a period; thousands are not separated.
- The original tables use en dashes in ranges (
4 – 8) and a true minus sign in one cell (−1 click). Here both are written as the ASCII hyphen-minus (4 - 8,-1 click) so the files parse cleanly in CSV readers and spreadsheets. No numeric value was changed. - Units are kept exactly as published:
oz,g,lb,kg,mph,km/h. - Rows are in the same order as the source tables. Nothing has been added, removed or re-sorted.
Scope and limits
These are reference values for recreational baitcasting tackle in the classes named in each row. They are not manufacturer specifications, and they are not a substitute for the line rating printed on your own rod and reel.
License
The files in data/ are released under CC0 1.0 Universal — a public domain
dedication, so you can reuse them for any purpose without attribution. See
LICENSE for the full text.
Corrections
If a row is wrong, open an issue with the row, the value you expected, and where your value comes from. Corrections with a source get applied; unsourced ones do not.
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