The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 1 fields in line 5698, 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 4645, 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 2866, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 1 fields in line 5698, 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.
washtrace data
Transfers of NFT collections, and the money trail of the wallets that traded them, read from the chain. The data is made for washtrace, an NFT wash-trading detector that follows the money between wallets (Chow, 2023): a washtrace install downloads these files instead of reading each collection from its deploy block.
Only data that can be read from the chain is included. Nothing about how it was collected, and no labels or settings, are in the files.
Collections
| Name | Address | Chain id | Through block | Last transfer (UTC) | Checked wallets | Transfers file | Trail file |
|---|---|---|---|---|---|---|---|
| Argonauts | 0x387c41b0b2f1128de44db1bcf8baad085f26392c | 1 | 26288279 | 2026-10-28 | 5694 | 1.3 MB | 321.4 MB |
| Terraforms | 0x4e1f41613c9084fdb9e34e11fae9412427480e56 | 1 | 26288279 | 2026-10-27 | 10962 | 2.9 MB | 621.8 MB |
| Meebits | 0x7bd29408f11d2bfc23c34f18275bbf23bb716bc7 | 1 | 26288279 | 2026-10-27 | 28960 | 6.3 MB | 996.6 MB |
| Dreadfulz | 0x81ae0be3a8044772d04f32398bac1e1b4b215aa8 | 1 | 26288279 | 2026-10-17 | 10343 | 1.6 MB | 368.1 MB |
| BoredApeYachtClub | 0xbc4ca0eda7647a8ab7c2061c2e118a18a936f13d | 1 | 26288279 | 2026-10-28 | 38871 | 10.9 MB | 955.4 MB |
| dotdotdot | 0xce25e60a89f200b1fa40f6c313047ffe386992c3 | 1 | 26288279 | 2026-10-27 | 7121 | 1.0 MB | 414.7 MB |
Through block is where the read stops; last transfer is the date of the newest transfer at or below it.
The name is the contract's own name(), or its address when it has none. manifest.json lists each file with
its row count, size and sha256.
Files
Each file is CSV compressed with zstd. Null is an empty field.
<chainId>-<address>.transfers.csv.zst has the columns
tx_hash,log_index,block_number,block_time,token_id,from_address,to_address,marketplace,price_wei,currency
<chainId>-<address>.trail.csv.zst has two sections. First #checked, the wallets whose payments were read to the end of
their history when checked, with the column
address
then #flows, the payments those wallets made or received, with the columns
tx_hash,kind,from_address,to_address,value_wei,token,block_number,block_time
Reading them
pip install pandas zstandard
import json
import pandas as pd
transfers = pd.read_csv("1-0x....transfers.csv.zst", compression='zstd', dtype=str)
m = json.load(open("manifest.json"))
e = next(c for c in m["collections"] if c["address"] == "0x...")
n = e["trail"]["wallets"]
path = f"{e['chainId']}-{e['address']}.trail.csv.zst"
checked = pd.read_csv(path, compression='zstd', skiprows=1, nrows=n)
flows = pd.read_csv(path, compression='zstd', skiprows=n + 3, dtype=str)
pandas decompresses as it reads, so the file is never held whole as text; the largest trails hold tens of millions of
flows: pass chunksize= to read them in parts.
dtype=str keeps price_wei, value_wei and token_id at full precision, which a number column would round.
Licence: CC-BY-4.0. How to cite the data, and the paper, is in the washtrace README under Citing.
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