The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 127, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
~~~~~~~~~~~~~~^^^
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 2393, in read_schema
file = ParquetFile(
where, memory_map=memory_map,
decryption_properties=decryption_properties)
File "/usr/local/lib/python3.14/site-packages/pyarrow/parquet/core.py", line 328, in __init__
self.reader.open(
~~~~~~~~~~~~~~~~^
source, use_memory_map=memory_map,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...<8 lines>...
arrow_extensions_enabled=arrow_extensions_enabled,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
raise convert_status(status)
pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
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/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need 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:The task_categories "clustering" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
CFPB Consumer Complaint Database (mirror)
Official public-domain bulk export of the Consumer Financial Protection Bureau Consumer Complaint Database, mirrored for fast, stable programmatic access.
Files
| File | Size | Description |
|---|---|---|
complaints.csv.zip |
1.41 GB | Raw bulk export exactly as published by the CFPB (single member complaints.csv, 9.09 GB, 17,021,062 rows) |
complaints.parquet |
1.02 GB | Typed, column-pruned parquet (ZSTD) of the same 17,021,062 rows; 16 columns; dates parsed as DATE |
Provenance
- Source: https://files.consumerfinance.gov/ccdb/complaints.csv.zip
- Observation period: 2011-12-01 → 2026-08-11 (as-of date of this export)
- License: US federal government work, public domain (CC0-1.0)
- Rows: 17,021,062
sha256
d92239489715c816fa4fc77a27324878cfc88de5b417065ea185e80ac92a6658 complaints.csv.zip
6e0a76bea4a9f5481aba4f895e5fa8f9a55df0751969971035637954c0a8067d complaints.parquet
Columns
date_received (DATE) · product · sub_product · issue · sub_issue ·
narrative (Consumer complaint narrative) · company · company_public_response ·
state · zip_code · tags · submitted_via · date_sent_to_company (DATE) ·
company_response (Company response to consumer) · timely_response ·
complaint_id
Notes
narrativeis present for ~22.5% of rows (3,835,352) — a self-selected subset.- The bulk export no longer contains the
Consumer disputed?field that existed in earlier schema versions; the closest outcome proxy iscompany_response. complaints.parquetwas built with pandas chunked reads (the CFPB CSV has quoted narrative fields that confuse DuckDB's CSV sniffer) and is intended to be queried with DuckDB.
Regenerate
# from the CFPB mirror, rebuild the parquet
unzip -p complaints.csv.zip complaints.csv | python -m build_parquet # see source project
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