Datasets:

Palak1326
/

birdgnn

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
audio: string
label: int64
species_code: string
species_en: string
xc_id: string
duration_sec: double
country: string
quality: string
latitude: string
longitude: string
recordist: string
type: string
license: string
remarks: string
-- schema metadata --
huggingface: '{"info": {"features": {"audio": {"dtype": "string", "_type"' + 674
to
{'audio': Audio(sampling_rate=None, decode=True, num_channels=None, stream_index=None), 'label': ClassLabel(names=['House Crow', 'Mallard Duck', 'Asian Koel', 'Eurasian Owl', 'House Sparrow', 'Blue Jay', 'Northern Lapwing', 'Grey Go-away', 'Indian Peafowl', 'Western Wood-Pewee']), 'species_code': Value('string'), 'xc_id': Value('string'), 'duration_sec': Value('float32'), 'country': Value('string'), 'quality': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              audio: string
              label: int64
              species_code: string
              species_en: string
              xc_id: string
              duration_sec: double
              country: string
              quality: string
              latitude: string
              longitude: string
              recordist: string
              type: string
              license: string
              remarks: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"audio": {"dtype": "string", "_type"' + 674
              to
              {'audio': Audio(sampling_rate=None, decode=True, num_channels=None, stream_index=None), 'label': ClassLabel(names=['House Crow', 'Mallard Duck', 'Asian Koel', 'Eurasian Owl', 'House Sparrow', 'Blue Jay', 'Northern Lapwing', 'Grey Go-away', 'Indian Peafowl', 'Western Wood-Pewee']), 'species_code': Value('string'), 'xc_id': Value('string'), 'duration_sec': Value('float32'), 'country': Value('string'), 'quality': Value('string')}
              because column names don't match

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Bird Calls — 10 Species

Collected from the Xeno-Canto API on 2026-08-23. Used with the multi-scale GATv2 bird classifier project.

Dataset Summary

Total recordings: 899
Classes: 10 species
Duration filter: 1.0s – 300.0s
Public: True

Species

Code	English Name	Scientific Name
HC	House Crow	Corvus splendens
MD	Mallard Duck	Anas platyrhynchos
AK	Asian Koel	Eudynamys scolopaceus
EO	Eurasian Owl	Asio otus
HS	House Sparrow	Passer domesticus
BJ	Blue Jay	Cyanocitta cristata
RL	Northern Lapwing	Vanellus vanellus
GG	Grey Go-away	Crinifer concolor
IP	Indian Peafowl	Pavo cristatus
WW	Western Wood-Pewee	Contopus sordidulus

Usage

from datasets import load_dataset
ds = load_dataset("Palak1326/birdgnn")

License

Audio files are subject to individual Xeno-Canto licenses (CC-BY/NC). See the license column per recording.

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