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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
swaps: struct<min: int64, max: int64, median: int64, nonzero_frac: double>
  child 0, min: int64
  child 1, max: int64
  child 2, median: int64
  child 3, nonzero_frac: double
vol0: struct<min: int64, max: double, median: double, nonzero_frac: double>
  child 0, min: int64
  child 1, max: double
  child 2, median: double
  child 3, nonzero_frac: double
vol1: struct<min: int64, max: double, median: double, nonzero_frac: double>
  child 0, min: int64
  child 1, max: double
  child 2, median: double
  child 3, nonzero_frac: double
twl_active_liquidity: struct<min: double, max: double, median: double, nonzero_frac: double>
  child 0, min: double
  child 1, max: double
  child 2, median: double
  child 3, nonzero_frac: double
depth_1pct: struct<min: int64, max: double, median: double, nonzero_frac: double>
  child 0, min: int64
  child 1, max: double
  child 2, median: double
  child 3, nonzero_frac: double
depth_2pct: struct<min: int64, max: double, median: double, nonzero_frac: double>
  child 0, min: int64
  child 1, max: double
  child 2, median: double
  child 3, nonzero_frac: double
depth_5pct: struct<min: int64, max: double, median: double, nonzero_frac: double>
  child 0, min: int64
  child 1, max: double
  child 2, median: double
  child 3, nonzero_frac: double
lp_entry_count: struct<min: int64, max: int64, median: int64, nonzero_frac: double>
  child 0, min: int64
  child 1, max: int64
  child 2, median: int64
  child 3, nonzero_frac: double
lp_exit_count: struct<min: in
...
edian: double, nonzero_frac: double>
  child 0, min: int64
  child 1, max: double
  child 2, median: double
  child 3, nonzero_frac: double
lp_fee_income_per_active_liquidity: struct<min: double, max: double, median: double, nonzero_frac: double>
  child 0, min: double
  child 1, max: double
  child 2, median: double
  child 3, nonzero_frac: double
collect_amount1_native: struct<min: int64, max: double, median: int64, nonzero_frac: double>
  child 0, min: int64
  child 1, max: double
  child 2, median: int64
  child 3, nonzero_frac: double
position_duration_days: struct<min: double, max: double, median: double, nonzero_frac: double>
  child 0, min: double
  child 1, max: double
  child 2, median: double
  child 3, nonzero_frac: double
net_liq: struct<min: double, max: double, median: int64, nonzero_frac: double>
  child 0, min: double
  child 1, max: double
  child 2, median: int64
  child 3, nonzero_frac: double
_units_note: string
panel_completeness.json: struct<sha256: string, bytes: int64>
  child 0, sha256: string
  child 1, bytes: int64
tickbook_init.json: struct<sha256: string, bytes: int64>
  child 0, sha256: string
  child 1, bytes: int64
panel_weekly_frozen.csv: struct<sha256: string, bytes: int64>
  child 0, sha256: string
  child 1, bytes: int64
outcome_sanity_report.json: struct<sha256: string, bytes: int64>
  child 0, sha256: string
  child 1, bytes: int64
token_decimals.json: struct<sha256: string, bytes: int64>
  child 0, sha256: string
  child 1, bytes: int64
to
{'panel_weekly_frozen.csv': {'sha256': Value('string'), 'bytes': Value('int64')}, 'panel_completeness.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'outcome_sanity_report.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'tickbook_init.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'token_decimals.json': {'sha256': Value('string'), 'bytes': Value('int64')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in 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/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              swaps: struct<min: int64, max: int64, median: int64, nonzero_frac: double>
                child 0, min: int64
                child 1, max: int64
                child 2, median: int64
                child 3, nonzero_frac: double
              vol0: struct<min: int64, max: double, median: double, nonzero_frac: double>
                child 0, min: int64
                child 1, max: double
                child 2, median: double
                child 3, nonzero_frac: double
              vol1: struct<min: int64, max: double, median: double, nonzero_frac: double>
                child 0, min: int64
                child 1, max: double
                child 2, median: double
                child 3, nonzero_frac: double
              twl_active_liquidity: struct<min: double, max: double, median: double, nonzero_frac: double>
                child 0, min: double
                child 1, max: double
                child 2, median: double
                child 3, nonzero_frac: double
              depth_1pct: struct<min: int64, max: double, median: double, nonzero_frac: double>
                child 0, min: int64
                child 1, max: double
                child 2, median: double
                child 3, nonzero_frac: double
              depth_2pct: struct<min: int64, max: double, median: double, nonzero_frac: double>
                child 0, min: int64
                child 1, max: double
                child 2, median: double
                child 3, nonzero_frac: double
              depth_5pct: struct<min: int64, max: double, median: double, nonzero_frac: double>
                child 0, min: int64
                child 1, max: double
                child 2, median: double
                child 3, nonzero_frac: double
              lp_entry_count: struct<min: int64, max: int64, median: int64, nonzero_frac: double>
                child 0, min: int64
                child 1, max: int64
                child 2, median: int64
                child 3, nonzero_frac: double
              lp_exit_count: struct<min: in
              ...
              edian: double, nonzero_frac: double>
                child 0, min: int64
                child 1, max: double
                child 2, median: double
                child 3, nonzero_frac: double
              lp_fee_income_per_active_liquidity: struct<min: double, max: double, median: double, nonzero_frac: double>
                child 0, min: double
                child 1, max: double
                child 2, median: double
                child 3, nonzero_frac: double
              collect_amount1_native: struct<min: int64, max: double, median: int64, nonzero_frac: double>
                child 0, min: int64
                child 1, max: double
                child 2, median: int64
                child 3, nonzero_frac: double
              position_duration_days: struct<min: double, max: double, median: double, nonzero_frac: double>
                child 0, min: double
                child 1, max: double
                child 2, median: double
                child 3, nonzero_frac: double
              net_liq: struct<min: double, max: double, median: int64, nonzero_frac: double>
                child 0, min: double
                child 1, max: double
                child 2, median: int64
                child 3, nonzero_frac: double
              _units_note: string
              panel_completeness.json: struct<sha256: string, bytes: int64>
                child 0, sha256: string
                child 1, bytes: int64
              tickbook_init.json: struct<sha256: string, bytes: int64>
                child 0, sha256: string
                child 1, bytes: int64
              panel_weekly_frozen.csv: struct<sha256: string, bytes: int64>
                child 0, sha256: string
                child 1, bytes: int64
              outcome_sanity_report.json: struct<sha256: string, bytes: int64>
                child 0, sha256: string
                child 1, bytes: int64
              token_decimals.json: struct<sha256: string, bytes: int64>
                child 0, sha256: string
                child 1, bytes: int64
              to
              {'panel_weekly_frozen.csv': {'sha256': Value('string'), 'bytes': Value('int64')}, 'panel_completeness.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'outcome_sanity_report.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'tickbook_init.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'token_decimals.json': {'sha256': Value('string'), 'bytes': Value('int64')}}
              because column names don't match

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AMM Protocol-Fee Panel

Frozen, hash-checked panel accompanying:

Causal Effects of Protocol-Fee Changes on Liquidity Provision in Automated Market Makers Wen-Ting Wang (2026). arXiv:2607.08525

Reconstructed from public Uniswap v3 logs. The panel was frozen before estimation; artifact_manifest.json carries the SHA-256 of each file.

Files

File Bytes SHA-256 (前 16)
panel_weekly_frozen.csv 31,701,248 ba27f6eee5329735
tickbook_init.json 932,746 26c25b67ba6bbd93
token_decimals.json 137,046 6f18b3fe2e90db07
panel_completeness.json 3,201 b4ee17f52f2544a4
outcome_sanity_report.json 1,978 bb929e313c258d63

Verify

python - <<'PY'
import json, hashlib
m = json.load(open("artifact_manifest.json"))
for name, meta in m.items():
    h = hashlib.sha256(open(name, "rb").read()).hexdigest()
    print(name, "OK" if h == meta["sha256"] else "MISMATCH")
PY

Citation

@misc{wang2026protocolfee,
  author       = {Wang, Wen-Ting},
  title        = {Causal Effects of Protocol-Fee Changes on Liquidity Provision
                  in Automated Market Makers},
  year         = {2026},
  eprint       = {2607.08525},
  archivePrefix= {arXiv},
  primaryClass = {stat.AP}
}

License

CC BY 4.0. Underlying chain data is public.

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Paper for egpivo/amm-protocol-fee-panel