Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              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/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              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 66, 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.

fred_md_2025 (TsFile format)

This repository contains time-series forecasting data stored in Apache TsFile format.

Summary

Licensing and citation requirements follow the original source. This repository does not claim ownership of the original data.

Dataset Statistics

Series Median series length TsFile rows (observations) Dynamic columns Static columns Data files
1 798 100,548 126 0 fred_md_2025.tsfile

Files

The Hugging Face dataset card YAML points configs.data_files to all *.tsfile files in this repository.

  • fred_md_2025.tsfile

TsFile Storage Model

  • Each original series (id) is stored as one TsFile device.
  • Time-varying targets and dynamic covariates are stored as FIELD measurements.
  • Source timestamp values are mapped to the TsFile Time column as millisecond timestamps.
  • Table name(s): fred_md_2025.

Column Schema

Column Role TsFile type
Time Time column INT64
id TAG (device dimension) STRING
RPI FIELD (measurement) FLOAT
W875RX1 FIELD (measurement) FLOAT
DPCERA3M086SBEA FIELD (measurement) FLOAT
CMRMTSPLx FIELD (measurement) FLOAT
RETAILx FIELD (measurement) FLOAT
INDPRO FIELD (measurement) FLOAT
IPFPNSS FIELD (measurement) FLOAT
IPFINAL FIELD (measurement) FLOAT
IPCONGD FIELD (measurement) FLOAT
IPDCONGD FIELD (measurement) FLOAT
IPNCONGD FIELD (measurement) FLOAT
IPBUSEQ FIELD (measurement) FLOAT
IPMAT FIELD (measurement) FLOAT
IPDMAT FIELD (measurement) FLOAT
IPNMAT FIELD (measurement) FLOAT
IPMANSICS FIELD (measurement) FLOAT
IPB51222S FIELD (measurement) FLOAT
IPFUELS FIELD (measurement) FLOAT
CUMFNS FIELD (measurement) FLOAT
HWI FIELD (measurement) FLOAT
HWIURATIO FIELD (measurement) FLOAT
CLF16OV FIELD (measurement) FLOAT
CE16OV FIELD (measurement) FLOAT
UNRATE FIELD (measurement) FLOAT
UEMPMEAN FIELD (measurement) FLOAT
UEMPLT5 FIELD (measurement) FLOAT
UEMP5TO14 FIELD (measurement) FLOAT
UEMP15OV FIELD (measurement) FLOAT
UEMP15T26 FIELD (measurement) FLOAT
UEMP27OV FIELD (measurement) FLOAT
CLAIMSx FIELD (measurement) FLOAT
PAYEMS FIELD (measurement) FLOAT
USGOOD FIELD (measurement) FLOAT
CES1021000001 FIELD (measurement) FLOAT
USCONS FIELD (measurement) FLOAT
MANEMP FIELD (measurement) FLOAT
DMANEMP FIELD (measurement) FLOAT
NDMANEMP FIELD (measurement) FLOAT
SRVPRD FIELD (measurement) FLOAT
USTPU FIELD (measurement) FLOAT
USWTRADE FIELD (measurement) FLOAT
USTRADE FIELD (measurement) FLOAT
USFIRE FIELD (measurement) FLOAT
USGOVT FIELD (measurement) FLOAT
CES0600000007 FIELD (measurement) FLOAT
AWOTMAN FIELD (measurement) FLOAT
AWHMAN FIELD (measurement) FLOAT
HOUST FIELD (measurement) FLOAT
HOUSTNE FIELD (measurement) FLOAT
HOUSTMW FIELD (measurement) FLOAT
HOUSTS FIELD (measurement) FLOAT
HOUSTW FIELD (measurement) FLOAT
PERMIT FIELD (measurement) FLOAT
PERMITNE FIELD (measurement) FLOAT
PERMITMW FIELD (measurement) FLOAT
PERMITS FIELD (measurement) FLOAT
PERMITW FIELD (measurement) FLOAT
ACOGNO FIELD (measurement) FLOAT
AMDMNOx FIELD (measurement) FLOAT
ANDENOx FIELD (measurement) FLOAT
AMDMUOx FIELD (measurement) FLOAT
BUSINVx FIELD (measurement) FLOAT
ISRATIOx FIELD (measurement) FLOAT
M1SL FIELD (measurement) FLOAT
M2SL FIELD (measurement) FLOAT
M2REAL FIELD (measurement) FLOAT
BOGMBASE FIELD (measurement) FLOAT
TOTRESNS FIELD (measurement) FLOAT
NONBORRES FIELD (measurement) FLOAT
BUSLOANS FIELD (measurement) FLOAT
REALLN FIELD (measurement) FLOAT
NONREVSL FIELD (measurement) FLOAT
CONSPI FIELD (measurement) FLOAT
S_P_500 FIELD (measurement) FLOAT
S_P_div_yield FIELD (measurement) FLOAT
S_P_PE_ratio FIELD (measurement) FLOAT
FEDFUNDS FIELD (measurement) FLOAT
CP3Mx FIELD (measurement) FLOAT
TB3MS FIELD (measurement) FLOAT
TB6MS FIELD (measurement) FLOAT
GS1 FIELD (measurement) FLOAT
GS5 FIELD (measurement) FLOAT
GS10 FIELD (measurement) FLOAT
AAA FIELD (measurement) FLOAT
BAA FIELD (measurement) FLOAT
COMPAPFFx FIELD (measurement) FLOAT
TB3SMFFM FIELD (measurement) FLOAT
TB6SMFFM FIELD (measurement) FLOAT
T1YFFM FIELD (measurement) FLOAT
T5YFFM FIELD (measurement) FLOAT
T10YFFM FIELD (measurement) FLOAT
AAAFFM FIELD (measurement) FLOAT
BAAFFM FIELD (measurement) FLOAT
TWEXAFEGSMTHx FIELD (measurement) FLOAT
EXSZUSx FIELD (measurement) FLOAT
EXJPUSx FIELD (measurement) FLOAT
EXUSUKx FIELD (measurement) FLOAT
EXCAUSx FIELD (measurement) FLOAT
WPSFD49207 FIELD (measurement) FLOAT
WPSFD49502 FIELD (measurement) FLOAT
WPSID61 FIELD (measurement) FLOAT
WPSID62 FIELD (measurement) FLOAT
OILPRICEx FIELD (measurement) FLOAT
PPICMM FIELD (measurement) FLOAT
CPIAUCSL FIELD (measurement) FLOAT
CPIAPPSL FIELD (measurement) FLOAT
CPITRNSL FIELD (measurement) FLOAT
CPIMEDSL FIELD (measurement) FLOAT
CUSR0000SAC FIELD (measurement) FLOAT
CUSR0000SAD FIELD (measurement) FLOAT
CUSR0000SAS FIELD (measurement) FLOAT
CPIULFSL FIELD (measurement) FLOAT
CUSR0000SA0L2 FIELD (measurement) FLOAT
CUSR0000SA0L5 FIELD (measurement) FLOAT
PCEPI FIELD (measurement) FLOAT
DDURRG3M086SBEA FIELD (measurement) FLOAT
DNDGRG3M086SBEA FIELD (measurement) FLOAT
DSERRG3M086SBEA FIELD (measurement) FLOAT
CES0600000008 FIELD (measurement) FLOAT
CES2000000008 FIELD (measurement) FLOAT
CES3000000008 FIELD (measurement) FLOAT
UMCSENTx FIELD (measurement) FLOAT
DTCOLNVHFNM FIELD (measurement) FLOAT
DTCTHFNM FIELD (measurement) FLOAT
INVEST FIELD (measurement) FLOAT
VIXCLSx FIELD (measurement) FLOAT

Note: 1 original id values contained invalid identifier characters and were normalized to valid device names, for example FRED-MD-2025-07→FRED_MD_2025_07.

Conversion Notes

  • The source FEV format stores each time series as one nested row containing id, timestamp[], and target or covariate arrays.
  • The TsFile conversion flattens those nested arrays into long rows. Therefore, the TsFile rows values above correspond to the number of timestamped observations after flattening.
  • TAG columns identify the device and static metadata. FIELD columns contain values that change over time.
  • Large logical tables may be split into multiple .tsfile shards such as <name>_1.tsfile, <name>_2.tsfile, and so on. Shards listed for the same frequency belong to the same logical table.

Reading Example

from tsfile import TsFileReader

reader = TsFileReader("fred_md_2025.tsfile")
schemas = reader.get_all_table_schemas()
# Table name(s): fred_md_2025
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