Datasets:
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Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'station_name_raw', 'daily_entries', 'station_name', 'station_id', 'date'}) and 5 missing columns ({'dst_station_id', 'edge_type', 'src_station_id', 'weight_default', 'line_name'}).
This happened while the csv dataset builder was generating data using
hf://datasets/olaflaitinen/baku-metro-station-flow/station_entries_daily.csv (at revision 6e4b7930f537a830ee286e880c9a53aa5e78a698), [/tmp/hf-datasets-cache/medium/datasets/24547660762861-config-parquet-and-info-olaflaitinen-baku-metro-s-70d4d8ed/hub/datasets--olaflaitinen--baku-metro-station-flow/snapshots/6e4b7930f537a830ee286e880c9a53aa5e78a698/edges.csv (origin=hf://datasets/olaflaitinen/baku-metro-station-flow@6e4b7930f537a830ee286e880c9a53aa5e78a698/edges.csv), /tmp/hf-datasets-cache/medium/datasets/24547660762861-config-parquet-and-info-olaflaitinen-baku-metro-s-70d4d8ed/hub/datasets--olaflaitinen--baku-metro-station-flow/snapshots/6e4b7930f537a830ee286e880c9a53aa5e78a698/station_entries_daily.csv (origin=hf://datasets/olaflaitinen/baku-metro-station-flow@6e4b7930f537a830ee286e880c9a53aa5e78a698/station_entries_daily.csv), /tmp/hf-datasets-cache/medium/datasets/24547660762861-config-parquet-and-info-olaflaitinen-baku-metro-s-70d4d8ed/hub/datasets--olaflaitinen--baku-metro-station-flow/snapshots/6e4b7930f537a830ee286e880c9a53aa5e78a698/stations.csv (origin=hf://datasets/olaflaitinen/baku-metro-station-flow@6e4b7930f537a830ee286e880c9a53aa5e78a698/stations.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
date: string
station_id: string
station_name: string
station_name_raw: string
daily_entries: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 870
to
{'src_station_id': Value('string'), 'dst_station_id': Value('string'), 'edge_type': Value('string'), 'line_name': Value('string'), 'weight_default': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'station_name_raw', 'daily_entries', 'station_name', 'station_id', 'date'}) and 5 missing columns ({'dst_station_id', 'edge_type', 'src_station_id', 'weight_default', 'line_name'}).
This happened while the csv dataset builder was generating data using
hf://datasets/olaflaitinen/baku-metro-station-flow/station_entries_daily.csv (at revision 6e4b7930f537a830ee286e880c9a53aa5e78a698), [/tmp/hf-datasets-cache/medium/datasets/24547660762861-config-parquet-and-info-olaflaitinen-baku-metro-s-70d4d8ed/hub/datasets--olaflaitinen--baku-metro-station-flow/snapshots/6e4b7930f537a830ee286e880c9a53aa5e78a698/edges.csv (origin=hf://datasets/olaflaitinen/baku-metro-station-flow@6e4b7930f537a830ee286e880c9a53aa5e78a698/edges.csv), /tmp/hf-datasets-cache/medium/datasets/24547660762861-config-parquet-and-info-olaflaitinen-baku-metro-s-70d4d8ed/hub/datasets--olaflaitinen--baku-metro-station-flow/snapshots/6e4b7930f537a830ee286e880c9a53aa5e78a698/station_entries_daily.csv (origin=hf://datasets/olaflaitinen/baku-metro-station-flow@6e4b7930f537a830ee286e880c9a53aa5e78a698/station_entries_daily.csv), /tmp/hf-datasets-cache/medium/datasets/24547660762861-config-parquet-and-info-olaflaitinen-baku-metro-s-70d4d8ed/hub/datasets--olaflaitinen--baku-metro-station-flow/snapshots/6e4b7930f537a830ee286e880c9a53aa5e78a698/stations.csv (origin=hf://datasets/olaflaitinen/baku-metro-station-flow@6e4b7930f537a830ee286e880c9a53aa5e78a698/stations.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)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.
src_station_id string | dst_station_id string | edge_type string | line_name string | weight_default float64 |
|---|---|---|---|---|
station_iceriseher | station_sahil | line | Red | 1 |
station_sahil | station_iceriseher | line | Red | 1 |
station_sahil | station_28_may | line | Red | 1 |
station_28_may | station_sahil | line | Red | 1 |
station_28_may | station_genclik | line | Red | 1 |
station_genclik | station_28_may | line | Red | 1 |
station_genclik | station_neriman_nerimanov | line | Red | 1 |
station_neriman_nerimanov | station_genclik | line | Red | 1 |
station_neriman_nerimanov | station_ulduz | line | Red | 1 |
station_ulduz | station_neriman_nerimanov | line | Red | 1 |
station_ulduz | station_koroglu | line | Red | 1 |
station_koroglu | station_ulduz | line | Red | 1 |
station_koroglu | station_qara_qarayev | line | Red | 1 |
station_qara_qarayev | station_koroglu | line | Red | 1 |
station_qara_qarayev | station_neftciler | line | Red | 1 |
station_neftciler | station_qara_qarayev | line | Red | 1 |
station_neftciler | station_xalqlar_dostlugu | line | Red | 1 |
station_xalqlar_dostlugu | station_neftciler | line | Red | 1 |
station_xalqlar_dostlugu | station_ehmedli | line | Red | 1 |
station_ehmedli | station_xalqlar_dostlugu | line | Red | 1 |
station_ehmedli | station_hezi_aslanov | line | Red | 1 |
station_hezi_aslanov | station_ehmedli | line | Red | 1 |
station_neriman_nerimanov | station_bakmil | branch | Red | 1 |
station_bakmil | station_neriman_nerimanov | branch | Red | 1 |
station_xetai | station_cefer_cabbarli | line | Green | 1 |
station_cefer_cabbarli | station_xetai | line | Green | 1 |
station_cefer_cabbarli | station_nizami | line | Green | 1 |
station_nizami | station_cefer_cabbarli | line | Green | 1 |
station_nizami | station_elmler_akademiyasi | line | Green | 1 |
station_elmler_akademiyasi | station_nizami | line | Green | 1 |
station_elmler_akademiyasi | station_insaatcilar | line | Green | 1 |
station_insaatcilar | station_elmler_akademiyasi | line | Green | 1 |
station_insaatcilar | station_20_yanvar | line | Green | 1 |
station_20_yanvar | station_insaatcilar | line | Green | 1 |
station_20_yanvar | station_memar_eceemi | line | Green | 1 |
station_memar_eceemi | station_20_yanvar | line | Green | 1 |
station_memar_eceemi | station_nesimi | line | Green | 1 |
station_nesimi | station_memar_eceemi | line | Green | 1 |
station_nesimi | station_azadliq_prospekti | line | Green | 1 |
station_azadliq_prospekti | station_nesimi | line | Green | 1 |
station_azadliq_prospekti | station_dernegul | line | Green | 1 |
station_dernegul | station_azadliq_prospekti | line | Green | 1 |
station_avtovagzal | station_memar_eceemi_2 | line | Purple | 1 |
station_memar_eceemi_2 | station_avtovagzal | line | Purple | 1 |
station_memar_eceemi_2 | station_8_noyabr | line | Purple | 1 |
station_8_noyabr | station_memar_eceemi_2 | line | Purple | 1 |
station_8_noyabr | station_xocesen | line | Purple | 1 |
station_xocesen | station_8_noyabr | line | Purple | 1 |
station_28_may | station_cefer_cabbarli | transfer | Transfer | 1 |
station_cefer_cabbarli | station_28_may | transfer | Transfer | 1 |
station_memar_eceemi | station_memar_eceemi_2 | transfer | Transfer | 1 |
station_memar_eceemi_2 | station_memar_eceemi | transfer | Transfer | 1 |
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Baku Metro Station Flow
Summary
Processed station-level daily passenger entry observations for next-day forecasting benchmarks.
Source Provenance
The upstream observations originate from the Azerbaijan open data portal pages for Baku Metro daily station passenger entries.
Collection and Release Process
The repository downloader retrieves official CSV resources and preserves raw files before deterministic normalization and station-date aggregation.
Schema
date: canonical observation datestation_id: stable station identifierstation_name: canonical station namestation_name_raw: raw source station strings contributing to the aggregate rowdaily_entries: aggregated station-level daily entry count
Split Definition
- train: target dates in 2025
- validation: target dates in 2026-01
- test: target dates in 2026-02
- future_holdout: later dates if new source files are added
Preprocessing
The repository performs station alias normalization, duplicate station-date aggregation, leakage-safe lag and rolling feature construction, and time-based split assignment.
Intended Uses
- station-level passenger entry forecasting
- federated learning benchmarking
- urban mobility machine learning experiments
Limitations
- entry counts only
- no route inference or origin-destination recovery
- no claim of formal privacy protection
Bias, Risk, and Responsible Use
Operational, calendar, and reporting biases in the official source may propagate into the processed release.
License and Redistribution Note
The upstream portal license could not be confirmed programmatically with sufficient certainty at packaging time. This repository therefore documents provenance conservatively and does not assert an inferred license over the upstream public observations.
Repository Code License
The repository code, documentation source, configuration files, and release tooling that produce this dataset bundle are licensed under Apache-2.0.
Maintainer
- Maintainer: Olaf Yunus Laitinen Imanov
- Repository: olaflaitinen/baku-metro-federated-learning
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