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Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Failed to parse string: 'pump_and_dump' as a scalar of type double
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
pa_table = table_cast(pa_table, self._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 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
return array_cast(
array,
...<2 lines>...
allow_decimal_to_str=allow_decimal_to_str,
)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2015, in array_cast
return array.cast(pa_type)
~~~~~~~~~~^^^^^^^^^
File "pyarrow/array.pxi", line 1186, in pyarrow.lib.Array.cast
File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 414, in cast
return call_function("cast", [arr], options, memory_pool)
File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
result = GetResultValue(
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: Failed to parse string: 'pump_and_dump' as a scalar of type double
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 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
tx_hash string | from string | to string | amount float64 | token string | tx_type string | is_illicit int64 | typology null | case_id null | timestamp string | block int64 |
|---|---|---|---|---|---|---|---|---|---|---|
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0x9789b143a9b97933179d188ed6ea257b726e7189 | 0x8f7f87ddd555453396a6da34a5ec67c0958c468a | 0xb57b38622cec5456dddeb7cf976ccefa8144ab40 | 54.247643 | WBTX | swap_in | 0 | null | null | 2025-03-01 00:00:06 | 0 |
0x12d21f262ff5044b25ed8091665cb563b3a2b8ad | 0x0d1b1aff79b99005c69b6867f331196bf3ab7b84 | 0x820974abf9da570f76c651200d9410ae526a153e | 2.042225 | NATIVE | exchange_deposit | 0 | null | null | 2025-03-01 00:00:12 | 1 |
0x024d9d11b4e1855378636a5c6806672d52a35e47 | 0xb57b38622cec5456dddeb7cf976ccefa8144ab40 | 0x8f7f87ddd555453396a6da34a5ec67c0958c468a | 52.963834 | WBTX | swap_out | 0 | null | null | 2025-03-01 00:00:21 | 1 |
0xbbfaefc3558a2a58b00c816204a6a2ba2b13bc9c | 0xb1eeadaf169d93ae4e17cf46c4bf81886b5c22ca | 0x6daffcc43e7320c0cd47fe9fcd61a32199ac9e4f | 488.921754 | USDX | swap_in | 0 | null | null | 2025-03-01 00:00:43 | 3 |
0x0513cd868b0f4e74ca7f7de4e7daaeb00cd1d2cd | 0x9ae4ef3c15a21f97e44c4f1bb1c35638f49606fe | 0xefecaae9b04bfa901abe62945d4e01e2dad1ba5c | 0.11723 | NATIVE | nft_purchase | 0 | null | null | 2025-03-01 00:00:46 | 3 |
0x297745633969e76bb32cfb3bbe8ed6a58cb216e9 | 0x6daffcc43e7320c0cd47fe9fcd61a32199ac9e4f | 0xb1eeadaf169d93ae4e17cf46c4bf81886b5c22ca | 481.976882 | NATIVE | swap_out | 0 | null | null | 2025-03-01 00:00:58 | 4 |
0x8e15f914b693d4491a9b382283d53b147b1b8bef | 0x3be73525f3e2295a045382305ac9b40c121aae5a | 0xefecaae9b04bfa901abe62945d4e01e2dad1ba5c | 0.064726 | NATIVE | nft_purchase | 0 | null | null | 2025-03-01 00:01:03 | 5 |
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0x1ce8c4e5bebe2e07e5e5146432f6d86608635e42 | 0x7e0ccd97ba4cf7dc44a4e9ca0d386716024a2024 | 0xe27a24eda0b1535784e14fef16fd4851b1ee19fa | 2,052.686567 | NATIVE | swap_out | 0 | null | null | 2025-03-01 00:01:38 | 8 |
0xb089b697dfa3cee36c42c022355d79f13d6331f5 | 0xcb637df7054220d94f4bcdb1c5d0ab372f6b1acb | 0x8449063fa24f95592d5cb8e0f44a5ca5820a0bc0 | 580.070937 | USDY | swap_in | 0 | null | null | 2025-03-01 00:01:50 | 9 |
0x4de77059964eb4de747286f16a320520de044be8 | 0xab92fc310f97bd10693f0ce7dea0695cbb6ee642 | 0x2903d9dcd10c111b8a3bc01a5d33f9eb535b31ec | 3.55605 | NATIVE | exchange_deposit | 0 | null | null | 2025-03-01 00:01:53 | 9 |
0x4226b03e8adf68f25cfe592f75f8ca194b4fb057 | 0x1627ffe960c8929b801592a6cae16a85d0b4abb2 | 0xad6de6fb868205fa0b3cce4d98f35582a9639b4f | 1.129139 | NATIVE | transfer | 0 | null | null | 2025-03-01 00:01:58 | 9 |
0x80410f9b4f9338c98c2e719a7db4cc2a7a730ff0 | 0x8449063fa24f95592d5cb8e0f44a5ca5820a0bc0 | 0xcb637df7054220d94f4bcdb1c5d0ab372f6b1acb | 566.327104 | WBTX | swap_out | 0 | null | null | 2025-03-01 00:02:05 | 10 |
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0x662e7d34fca6fa7e9c2e5812c05de4f9ec77feb0 | 0x3452f99ab37e200e1bd83f492442fca781fe3957 | 0x9a734437bc269807d53ba0b1728957601ee71340 | 115.130434 | WBTX | swap_in | 0 | null | null | 2025-03-01 00:02:08 | 10 |
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0x3ad8ed37464815241b8134a1025c177300faa6e8 | 0xc8d8b0616eb59587a633a3f6d6201a4681d015d8 | 0xff0934ae21c5a77a129500edcd60b89918ecf23d | 0.040139 | NATIVE | exchange_deposit | 0 | null | null | 2025-03-01 00:02:20 | 11 |
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0x86e602bae8619d9a48b243ef9a9516213d9e55c0 | 0xc892a2ca04df820ca678bc62f30316a518fd7ec7 | 0x10a946f4542b40202fb6599920389e962e41ed1e | 789.777029 | WBTX | swap_in | 0 | null | null | 2025-03-01 00:05:18 | 26 |
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0x15cdd516760214c05127c4ac8f3547b2bb727d32 | 0xcad4052bb483932b30e2786f5d25d8f4b1dbced0 | 0x9a734437bc269807d53ba0b1728957601ee71340 | 0.155183 | NATIVE | swap_in | 0 | null | null | 2025-03-01 00:05:36 | 28 |
0x479cfd356f0d7f46eb915f274867a2bdc7c025de | 0xa6c7856dcb4588e5b4b1a0f85c8bf6cb13fcf4e7 | 0xd05048184696943358325d33cd40f47fae5a51a9 | 890.176107 | GOVA | swap_in | 0 | null | null | 2025-03-01 00:05:43 | 28 |
0xbadb0ddbf76bccc70c51f06908c96861652fcd7b | 0x9a734437bc269807d53ba0b1728957601ee71340 | 0xcad4052bb483932b30e2786f5d25d8f4b1dbced0 | 0.152565 | USDY | swap_out | 0 | null | null | 2025-03-01 00:05:51 | 29 |
0x4b0a38ab5704e4b3e7f352bfec6be547f106a7fd | 0xd05048184696943358325d33cd40f47fae5a51a9 | 0xa6c7856dcb4588e5b4b1a0f85c8bf6cb13fcf4e7 | 878.943189 | USDY | swap_out | 0 | null | null | 2025-03-01 00:05:58 | 29 |
0x4356c1b72d91495d6a182edd56f1fdf623451688 | 0x4f1ef4cfe951273e8d843d5631c0bf79992bf985 | 0x5a1ff4b68a7afd144fc5df90c1fbc2918e2594e4 | 478.388033 | GOVA | swap_in | 0 | null | null | 2025-03-01 00:06:03 | 30 |
0x014cf57f69541dc48dcabc6c068671dadc87ad31 | 0xa9f5d3796f458b8537b076b1570338330adfbd29 | 0xecb4978a6400e54cd33989d5e5bd1cd8f0515844 | 414.967578 | USDX | token_transfer | 0 | null | null | 2025-03-01 00:06:15 | 31 |
0x446f79600908c9c65a7e363ac4a583957003c1d9 | 0x5a1ff4b68a7afd144fc5df90c1fbc2918e2594e4 | 0x4f1ef4cfe951273e8d843d5631c0bf79992bf985 | 471.752586 | USDX | swap_out | 0 | null | null | 2025-03-01 00:06:18 | 31 |
0x36d392ddfaf02207e61bf21b62c6a9c440535317 | 0xc57c16378dded9685483ce71e58193f15e0cca47 | 0xaec3ee473c93e1ee8a9d7395902085cee816dd88 | 0.165052 | NATIVE | exchange_withdrawal | 0 | null | null | 2025-03-01 00:06:26 | 32 |
0x3e857e4b20c68751db92dd6a1d16f5e69f8d5421 | 0x2903d9dcd10c111b8a3bc01a5d33f9eb535b31ec | 0xdc2d9e8042dae384428f16f35d4aa7ca0d5aeab8 | 0.00879 | NATIVE | exchange_withdrawal | 0 | null | null | 2025-03-01 00:06:54 | 34 |
0xe1351154074dabdc91d9c9cfa582632b64818658 | 0x5aa5a686d5bb2251b4826ac427c8cbec9b57f359 | 0x459d7802b653c5b7aa9029ca4cdf65fe3cfaeb13 | 700.415077 | USDX | bridge_out | 0 | null | null | 2025-03-01 00:07:31 | 37 |
0x30fdd22839d57cec9ed1a66ce5e378aa5a213052 | 0x2903d9dcd10c111b8a3bc01a5d33f9eb535b31ec | 0x6c5d069e34f7a3168d8956b09f278e48a725392f | 0.324318 | NATIVE | exchange_withdrawal | 0 | null | null | 2025-03-01 00:07:32 | 37 |
0x1cadd8b04bd332fa978e6b70855c69b6d307585f | 0x1bb0fdb6c8a3fa9ea370037b9849a999c56d2103 | 0x5a1ff4b68a7afd144fc5df90c1fbc2918e2594e4 | 5,129.908515 | WBTX | swap_in | 0 | null | null | 2025-03-01 00:07:35 | 37 |
0xab77dad4f4f3730dd983a2bb9a4b05e9ef331cd2 | 0x601dc3eebba955491b0b286c2d85bcd1129a8fd7 | 0x5a5f5956ba80ed3f41f3030ea151c1e5960db775 | 0.300176 | NATIVE | transfer | 0 | null | null | 2025-03-01 00:07:36 | 38 |
0x407d1a178c9c867409954eb24e0e35c6e64c05b4 | 0xc6d46ce37e817ca9072f275c6d340abacd4207b6 | 0xc607a8a94087b1243e6de1d67235a6f89677c370 | 71.561156 | USDY | token_transfer | 0 | null | null | 2025-03-01 00:07:46 | 38 |
0x8e7c6d3abc459048205b892e7a87fba11371fb11 | 0xbef64769fa563dcdd667fb03f9477e56cffbb640 | 0x1246fc33891377263fd4384e33a0c0be3e2ee0ef | 0.072892 | NATIVE | transfer | 0 | null | null | 2025-03-01 00:07:46 | 38 |
0x35bc07c006e7c9d444545b087a8ef3e5c6a02c85 | 0x5a1ff4b68a7afd144fc5df90c1fbc2918e2594e4 | 0x1bb0fdb6c8a3fa9ea370037b9849a999c56d2103 | 5,071.10841 | USDX | swap_out | 0 | null | null | 2025-03-01 00:07:50 | 39 |
0x77de217e574b6ded259b0b93bf1ebc52a483c36f | 0x020944c1f8a2dd7ff7d6b81182aad7d69b5576cc | 0x4a1129ca74b612202723faf5bd1f87193b54f96e | 2,317.275684 | USDY | swap_in | 0 | null | null | 2025-03-01 00:07:57 | 39 |
0x4e61e1d3c4225c30f4c036a610e499bc3b20e7ec | 0x16d8592d5437f422888c128b6e23913fb3723466 | 0xa7639375286a8aea108e290259bf19b1564df769 | 0.484227 | NATIVE | exchange_deposit | 0 | null | null | 2025-03-01 00:07:58 | 39 |
0x28415b35e966289d47d4728b2955e1a99e8b39a6 | 0x6cb8aa328eccff0063c6ac000f6572d13e958350 | 0xf0d9b11a213920add4b6d5d3669d1cc5a3c41590 | 816.156121 | USDY | swap_in | 0 | null | null | 2025-03-01 00:08:00 | 40 |
0x728999943de605fe5af78bff6ad1f5cbdd0ec954 | 0x2bed8355d726245bf97f60a2c7fbf087ab9ed379 | 0x1935c555488962b0e5d3400527900027bc7e83c6 | 0.258626 | NATIVE | exchange_withdrawal | 0 | null | null | 2025-03-01 00:08:07 | 40 |
0x56cbea7cee567ca253c8997addfb54713d357b5a | 0x89efbb88420804f5555d5ab141afd2f042125224 | 0x7268339c3283d97bb23b7034235e6f46e5f3a0b0 | 18.330669 | NATIVE | payment | 0 | null | null | 2025-03-01 00:08:09 | 40 |
0x8caf6766e11912cc19a302b7b0eb3e44c34766cd | 0x4a1129ca74b612202723faf5bd1f87193b54f96e | 0x020944c1f8a2dd7ff7d6b81182aad7d69b5576cc | 2,300.311039 | USDY | swap_out | 0 | null | null | 2025-03-01 00:08:12 | 41 |
0x72639f4fd27b9268ba9534738893132c322d8027 | 0xf0d9b11a213920add4b6d5d3669d1cc5a3c41590 | 0x6cb8aa328eccff0063c6ac000f6572d13e958350 | 809.939513 | USDY | swap_out | 0 | null | null | 2025-03-01 00:08:15 | 41 |
0x8d58173ec4330d0019adbbf7c116e8397af75ec9 | 0x43682fbf0364d0a54a4ddd835119af9e671c3c99 | 0xefecaae9b04bfa901abe62945d4e01e2dad1ba5c | 0.100411 | NATIVE | nft_purchase | 0 | null | null | 2025-03-01 00:08:25 | 42 |
0xf4ed4a49945edb4e0965f407e15afef25af2c7fc | 0x4f564d6a693f7ad922ccb24a4ad96178fadc9206 | 0xd05048184696943358325d33cd40f47fae5a51a9 | 82.27576 | WBTX | swap_in | 0 | null | null | 2025-03-01 00:08:33 | 42 |
0xb9d4da0b12533571602da2b378e92c3eb3173a08 | 0x3b5f2e5319ffc0446531944e30a533df211c40a4 | 0xa7639375286a8aea108e290259bf19b1564df769 | 0.064169 | NATIVE | exchange_deposit | 0 | null | null | 2025-03-01 00:08:48 | 44 |
0x23f4fbae765763b640fa825f96fdf3a1ca657951 | 0xd05048184696943358325d33cd40f47fae5a51a9 | 0x4f564d6a693f7ad922ccb24a4ad96178fadc9206 | 80.629559 | WBTX | swap_out | 0 | null | null | 2025-03-01 00:08:48 | 44 |
0x24a2f641b79a6672b34e1f25e97c51e9a2c8ef34 | 0xa5413c23d6c7f08af197da1a23e6c689607f16b9 | 0x2dcf7b6e9621b0327a4e5a112844ad20ca6e55d7 | 7,454.867785 | USDX | token_transfer | 0 | null | null | 2025-03-01 00:08:49 | 44 |
0x43251f25621fe72807065d0fd7f8e6b06ac99138 | 0x73013742bd66c5930fd213d382ea1bf3e5f35574 | 0x79205e28b4f352befb94fbe1adad3cea92c1fe09 | 52.960788 | USDY | token_transfer | 0 | null | null | 2025-03-01 00:08:54 | 44 |
0xabc64e0898b005a9d9b00e5c94d1166c97166095 | 0xe18d76704c6c1b41e2c03ad251e396393ffa47b5 | 0x10a946f4542b40202fb6599920389e962e41ed1e | 45.362809 | WBTX | swap_in | 0 | null | null | 2025-03-01 00:09:08 | 45 |
0x2bb174b45eb5e4bb6e4bc39a4b41ceaedc53d633 | 0xfc3da186852c397e78f1598b3c77cecf4f5685a5 | 0xf0d9b11a213920add4b6d5d3669d1cc5a3c41590 | 921.803884 | USDX | swap_in | 0 | null | null | 2025-03-01 00:09:12 | 46 |
0xcafc42c1acb35d54541519daff67064246648169 | 0x72f4b0a102211cc6955712dd2cbca07884184a2e | 0xc57c16378dded9685483ce71e58193f15e0cca47 | 0.704786 | NATIVE | exchange_deposit | 0 | null | null | 2025-03-01 00:09:16 | 46 |
0x17b6da1e393dfa1f5d1c8095ba8d20f82c53fb99 | 0xfa7e23b591cdd730d70c02ebef7093d535f293d7 | 0xe40f59cf50f2fbcc1d236d4912eda17c280a46dc | 21.252482 | NATIVE | payment | 0 | null | null | 2025-03-01 00:09:19 | 46 |
0xda302967191f5401da0c3fb12df34f2fb7a5c7e7 | 0x10a946f4542b40202fb6599920389e962e41ed1e | 0xe18d76704c6c1b41e2c03ad251e396393ffa47b5 | 44.697063 | NATIVE | swap_out | 0 | null | null | 2025-03-01 00:09:23 | 46 |
0x068b6092c4bf0e4f71116d63823fb3a1d3978d20 | 0xf0d9b11a213920add4b6d5d3669d1cc5a3c41590 | 0xfc3da186852c397e78f1598b3c77cecf4f5685a5 | 916.289411 | USDX | swap_out | 0 | null | null | 2025-03-01 00:09:27 | 47 |
0xd7f61fbbb173762ebea8cc0381e06eb23eabf49a | 0xa2f10c591a7203ef512ebd5c6f978c18c7ce2b07 | 0x820974abf9da570f76c651200d9410ae526a153e | 0.060333 | NATIVE | exchange_deposit | 0 | null | null | 2025-03-01 00:09:31 | 47 |
0x1ac39df325fa2b43c854e11503902c02b38a12ba | 0x70f999dd0d824a627151788c6f4f731a685bb20d | 0xa05dba0815efafd474ad584698751d89326ea0d0 | 236.234033 | WBTX | swap_in | 0 | null | null | 2025-03-01 00:09:34 | 47 |
0x0dd75577c241f9bcc20e9525413114f5c46b2c79 | 0x7302af331d599f7385495d121fafb655092479c4 | 0x5083e8cd792fb6282428920ccab1714021ab0553 | 0.082298 | NATIVE | swap_in | 0 | null | null | 2025-03-01 00:09:42 | 48 |
0x4b416fff07aeb5222e90cd5e8e72d315b13ccf99 | 0x00cbd4d290d0cf5be8814642908573d1ec5f0db5 | 0x67d509457e55ea7608d51f7331863da79f1dedad | 279.182445 | WBTX | token_transfer | 0 | null | null | 2025-03-01 00:09:44 | 48 |
0x7b9bb691f3b6619a5edbf11e631a27bbec57e776 | 0xa05dba0815efafd474ad584698751d89326ea0d0 | 0x70f999dd0d824a627151788c6f4f731a685bb20d | 230.573244 | USDX | swap_out | 0 | null | null | 2025-03-01 00:09:49 | 49 |
0xb21c1844eeb01fb6107557cf08700222d1592219 | 0x3fceae8f6c9e6a00e47d72097f7bed817d4587bc | 0x61c2404facee42e5aaa8bbd88c2f849f93cd7b35 | 0.136821 | NATIVE | exchange_withdrawal | 0 | null | null | 2025-03-01 00:09:53 | 49 |
0x651fdbc581d167fd364483c93679399689460091 | 0x5083e8cd792fb6282428920ccab1714021ab0553 | 0x7302af331d599f7385495d121fafb655092479c4 | 0.080414 | WBTX | swap_out | 0 | null | null | 2025-03-01 00:09:57 | 49 |
0x1d342b690b6fd8a04a9da5d01ef16a4ec612add4 | 0xd5b4b8755d0f6307a21d086af31a7b924a89d4b9 | 0xff0934ae21c5a77a129500edcd60b89918ecf23d | 0.180165 | NATIVE | exchange_deposit | 0 | null | null | 2025-03-01 00:10:22 | 51 |
0x895e97b9f9bd2582cfac11ac14962d4561550df3 | 0xeb5feb5b044bb388b0db7e594b99dabb444ba314 | 0xa7639375286a8aea108e290259bf19b1564df769 | 0.029801 | NATIVE | exchange_deposit | 0 | null | null | 2025-03-01 00:10:36 | 53 |
0xb2decb98b565a90cc5e3cc2017e6faba487ff29d | 0x79923b884666457a11cf601c0454c72798b09234 | 0xf9d32d9cd0959c0421daebe3b727a77c3fa49a8f | 149.391085 | WBTX | swap_in | 0 | null | null | 2025-03-01 00:10:40 | 53 |
0x21862a1e097e7afe40ebc07a2db8d122c320ce04 | 0x571dba41e2f59d56e91ea29e87be526af4df1c76 | 0xf89b0f92b3acccd043f04c2f8b052756a2c8d482 | 258.145267 | USDX | payment | 0 | null | null | 2025-03-01 00:10:47 | 53 |
0xd905b031c3e2842d260c1ac22b82d48f7015d2a0 | 0xf9d32d9cd0959c0421daebe3b727a77c3fa49a8f | 0x79923b884666457a11cf601c0454c72798b09234 | 147.078404 | USDX | swap_out | 0 | null | null | 2025-03-01 00:10:55 | 54 |
0x32e8df07de3f9334e8e696c853b724bfdf1cf054 | 0xf310ccd9b5f5ecd7f64b88f45eeb01f2e7b0326c | 0x1caf0c6742177d3a7d292c3200fe467b7f58ee70 | 9,489.820405 | USDY | swap_in | 0 | null | null | 2025-03-01 00:10:59 | 54 |
0x246e438c563ecba8e735186cedc445b3c57776c0 | 0x1ce423d5af22e7560a8aef1f7bcefe20020c5e74 | 0xc57c16378dded9685483ce71e58193f15e0cca47 | 0.114592 | NATIVE | exchange_deposit | 0 | null | null | 2025-03-01 00:11:02 | 55 |
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QM Synthetic Crypto AML: On-chain Illicit Flows - Free Sample
Buy the full commercial edition: $30 USD - launch price until 24 Oct 2026 (regular price $49 USD) -> Polar checkout, instant download Also on Gumroad.
This free sample is non-commercial (CC BY-NC-SA 4.0). The paid full edition has a commercial licence.
Summary
Synthetic on-chain (EVM-style) crypto transfers with labelled illicit flows, for crypto AML, wallet-risk and graph-ML models; the paid full edition can be used commercially.
- Best for: crypto AML / wallet-risk prototyping, GNN and path-feature research, compliance tooling demos
- Not for: sanctions screening or attributing real wallets
Quick start
from datasets import load_dataset
ds = load_dataset("quailrobot/crypto-aml-v1-sample", split="train") # main table: transfers_sample.csv
# pandas alternative: pd.read_csv("hf://datasets/quailrobot/crypto-aml-v1-sample/transfers_sample.csv")
Facts
- Task: tabular / graph binary classification (illicit transfer detection) + typology evaluation
- Labels: is_illicit (0/1); typology = phishing_drainer, peel_chain, mixer_layering, rug_pull, pump_and_dump; case_id; wallet role
- Full edition size: 1,243,565 transfers, 78,922 wallets, 90 days, 150 illicit cases (zip 112 MB)
- Free sample size: 211,648 transfers = first 15 days (transfers_sample.csv); roles and cases only for illicit activity seen in that window
- Format: full: Parquet (transfers) + CSV (wallets, cases); sample: CSV
- What's included (full edition): transfers.parquet, wallets.csv, cases.csv, stats.json, benchmark.json, bench_crypto_aml.py, README.md, LICENSE.txt
- Price: $30 USD, launch price until 24 Oct 2026 (regular price $49 USD); checkout may display the equivalent in your local currency
- Buy URL (primary): https://buy.polar.sh/polar_cl_Tp2K2g2Qk1WYAxMRXoMbGvNX23DxKj9mcjvMM24q3li
- Buy URL (secondary, also on Gumroad): https://quailcraft1.gumroad.com/l/synthetic-crypto-aml-onchain
- Licence (full edition): LicenseRef-QuailModel-Commercial (commercial use allowed, no resale of the data)
- Licence (free sample): CC-BY-NC-SA-4.0
- Validation: Our own test on the full edition (time split, train first 70 % of days): class-balanced gradient boosting on 8 flat per-transfer features ROC-AUC 0.967, PR-AUC 0.169 (benchmark.json + script included). Graph methods should lift PR-AUC.
- Data source: 100% synthetic, generated by QuailModel with AI assistance (generator code written with an AI model)
- Catalog (all QuailModel datasets, catalog.json, llms.txt): https://quailrobot-quailmodel.static.hf.space
- Last updated: 2026-10-10
Validation
Our own test on the full edition (time split, train first 70 % of days): class-balanced gradient boosting on 8 flat per-transfer features ROC-AUC 0.967, PR-AUC 0.169 (benchmark.json + script included). Graph methods should lift PR-AUC.
Price & licence
- Full edition: $30 USD, launch price until 24 Oct 2026 (regular price $49 USD). One-time payment, instant download after checkout: https://buy.polar.sh/polar_cl_Tp2K2g2Qk1WYAxMRXoMbGvNX23DxKj9mcjvMM24q3li (also on Gumroad: https://quailcraft1.gumroad.com/l/synthetic-crypto-aml-onchain)
- QuailModel Commercial Dataset Licence (SPDX: LicenseRef-QuailModel-Commercial): you may train, evaluate and ship models, including in commercial products. You may not resell or redistribute the dataset itself.
- Free sample (this page): CC BY-NC-SA 4.0 - free for non-commercial use.
Limitations
- 100% synthetic: no real addresses or chains; not validated against real chain data.
- typology, case_id and wallet role are labels - exclude them from model inputs.
Custom dataset of YOUR object ($249)
Need data of YOUR object? Custom synthetic dataset, $249 USD -> order on Polar
- Note: this is an image / object-detection service (not tabular data).
- What you get: 2,000 labelled photoreal synthetic images (640x640 JPEG) of your own object or scenario (product, part, tool, drone, package, defect...), up to 3 classes, YOLO bounding boxes + data.yaml, train/val/test split, quality report
- Licence: commercial use allowed
- Price: $249 USD one-time; one round of adjustments included
- Delivery: typically 3-5 business days after we receive your reference photos + rough dimensions
- Optional sim-to-real test: send ~200 of your own labelled real images and we report how much the synthetic data improves a detector on them
- Refund: full refund if we cannot deliver your request (14-day refund policy)
- Limits: only objects you own or are allowed to use; no weapons or anything meant to harm people; no copied third-party 3D assets
- Order URL: https://buy.polar.sh/polar_cl_AQu6LzRtqiQmKPlgPt0zePBtvWjJI4vULeFMQ4NLHH9
- Details + contact: https://quailrobot-quailmodel.static.hf.space
This free sample: 211,648 transfers = first 15 days (transfers_sample.csv); roles and cases only for illicit activity seen in that window. Full commercial edition: 1,243,565 transfers, 78,922 wallets, 90 days, 150 illicit cases (zip 112 MB). Fully synthetic data; summary, facts, validation and limitations are in the block above.
Files
transfers (tx_hash, from, to, amount, token, tx_type, timestamp, block, is_illicit, typology, case_id),
wallets.csv (address, entity_type, role), cases.csv (case_id, typology, n_transfers).
typology, case_id and wallet role are LABELS - exclude them from model inputs.
How it was made
Produced by QuailModel's own simulator, including legitimate activity alongside the labelled patterns. Labels are exact, because they are known by construction.
Credits
No third-party data was used.
Licence
Sample edition: CC BY-NC-SA 4.0 (non-commercial). The full commercial edition is sold by QuailModel (see the buy link).
Disclosure
Generated by QuailModel with AI assistance (generator code written with an AI model); all data is synthetic / computer-generated. Validate on your own real data before production use.
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