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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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 91, in _split_generators
                  inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
                File "pyarrow/table.pxi", line 5317, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowTypeError: Unable to merge: Field json has incompatible types: struct<adate: string, album: int64, cdate: string, cid: int64, desc: string, dir: string, file: string, frags: list<item: struct<cid: int64, h: int64, l: double, t: double, w: double>>, geo: list<item: double>, h: int64, hs: int64, ldate: string, r2d: list<item: double>, regions: list<item: struct<cc: int64, cid: int64, pac: int64, phc: int64, title_en: string, title_ru: string>>, s: int64, title: string, type: int64, ucdate: string, user: struct<avatar: string, disp: string, login: string, ranks: list<item: string>, sex: string>, w: int64, waterh: int64, waterhs: int64, watersignText: string, watersignTextApplied: string, ws: int64, y: string, year: int64, year2: int64> vs struct<adate: string, album: int64, author: string, cdate: string, cdcount: int64, cid: int64, dir: string, file: string, frags: list<item: struct<cid: int64, h: double, l: double, t: double, w: double>>, geo: list<item: double>, h: int64, hs: int64, ldate: string, r2d: list<item: double>, regions: list<item: struct<cc: int64, cid: int64, pac: int64, phc: int64, title_en: string, title_ru: string>>, s: int64, title: string, type: int64, ucdate: string, user: struct<avatar: string, disp: string, login: string, ranks: list<item: string>, sex: string>, w: int64, waterh: int64, waterhs: int64, watersignText: string, watersignTextApplied: string, ws: int64, y: string, year: int64, year2: int64>: Unable to merge: Field frags has incompatible types: list<item: struct<cid: int64, h: int64, l: double, t: double, w: double>> vs list<item: struct<cid: int64, h: double, l: double, t: double, w: double>>: Unable to merge: Field item has incompatible types: struct<cid: int64, h: int64, l: double, t: double, w: double> vs struct<cid: int64, h: double, l: double, t: double, w: double>: Unable to merge: Field h has incompatible types: int64 vs 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/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, 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.

Dataset Card for PastVu Historical Photographs

Dataset Summary

This dataset contains approximately 2,093,000 historical photographs from PastVu.com, spanning the years 1826-2000. PastVu is a collaborative project that allows users to view historical photographs on an interactive map, providing a unique temporal and geographical perspective on historical documentation. The dataset includes images downloaded at the best available resolution and is structured in webdataset format for efficient processing. The collection covers a wide range of historical subjects including architecture, street scenes, cultural events, portraits, and everyday life, primarily focused on Russia and former Soviet territories, though it includes photographs from around the world.

Languages

The dataset is multilingual:

Russian (ru): Primary language for titles, descriptions, and metadata
English (en): Secondary language with some translated content and region names

Dataset Structure

Data Fields

Each photograph in the dataset is accompanied by comprehensive JSON metadata containing the following fields:

type: Integer representing the content type
adate: ISO timestamp of when the photo was added to PastVu
author: String containing the photographer's name
cid: Unique content identifier
dir: String indicating image orientation/direction
file: Original URL of the image file
geo: Array containing latitude and longitude coordinates [lat, lon]
h: Original image height in pixels
hs: Scaled image height in pixels
ldate: Last modification timestamp
title: Photograph title/description in original language
user: Object containing uploader information:
- login: Username of the uploader
- avatar: URL to user's avatar image
- disp: Display name
- ranks: Array of user rank badges
- sex: Gender identifier
w: Original image width in pixels
ws: Scaled image width in pixels
year: Primary year the photograph was taken
year2: End year (for photographs spanning multiple years)
s: Status or quality indicator
y: String representation of the year
waterh: Watermark height
waterhs: Scaled watermark height
watersignText: Watermark text content
watersignTextApplied: Timestamp when watermark was applied
r2d: Array containing additional geographical reference data
frags: Array of image fragments or regions of interest
regions: Array of geographical region objects containing:
- cid: Region identifier
- title_en: English region name
- title_ru: Russian region name
- phc: Photo count in region
- pac: Active photo count
- cc: Total content count

Data Splits

The dataset contains a single split:

Split	Number of Examples
`train`	~2,093,000

Total dataset size: Approximately 2,093,000 entries

Data Format

Images are stored in webdataset format across 2,094 tar files
Tar files are named sequentially: pastvu_000000.tar to pastvu_002093.tar
Approximately 1,000 images per tar file
Images are downloaded at the best available resolution from the original source
Each photograph has corresponding JSON metadata
Complete metadata is also provided in pastvu.jsonl.zst
Geographical coordinates are provided for most images, enabling spatial analysis

Temporal Coverage

The dataset spans 174 years of photography:

Start year: 1826
End year: 2000
Peak periods: Soviet era (1920s-1990s) with extensive documentation

License Information

Licensing Structure

The licensing for this dataset follows the original PastVu.com terms and conditions. Users should be aware that:

Images may have varying copyright statuses depending on their age and origin
Many historical photographs may be in the public domain due to age
Some images may still be under copyright protection
Attribution to original photographers and PastVu.com is recommended
Any use of materials published by the user for commercial purposes is only possible with the permission of the copyright holder of the specific image.

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