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mustaqir
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SAFFIRE-Face-Dataset

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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/csv/csv.py", line 196, in _generate_tables
                  csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1279, in xpandas_read_csv
                  return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs)
                         ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
                  return _read(filepath_or_buffer, kwds)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 620, in _read
                  parser = TextFileReader(filepath_or_buffer, **kwds)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
                  self._engine = self._make_engine(f, self.engine)
                                 ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
                  return mapping[engine](f, **self.options)
                         ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
                  self._reader = parsers.TextReader(src, **kwds)
                                 ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "pandas/_libs/parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
                File "pandas/_libs/parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error
                File "<frozen codecs>", line 325, in decode
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
              
              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/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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ImageID
int64
Path
string
Gender
string
Age-group
string
Pose
string
Occlusive?
string
8,531
PK-face/vi25_1163_0.jpg
Female
Adult
Profile
Yes
20,205
PK-face/vi34_466_0.jpg
Male
Adult
Frontal
No
25,879
PK-face/vi39_1667_0.jpg
Male
Senior
Frontal
Yes
17,780
PK-face/vi32_867_2.jpg
Male
Adult
Frontal
No
26,035
PK-face/vi39_1822_0.jpg
Male
Senior
Frontal
No
26,789
PK-face/vi39_761_0.jpg
Male
Adult
Frontal
No
10,962
PK-face/vi27_47_0.jpg
Female
Senior
Three-Quarter
Yes
19,328
PK-face/vi33_862_1.jpg
Female
Senior
Profile
No
8,835
PK-face/vi25_1459_1.jpg
Male
Adult
Frontal
No
16,939
PK-face/vi32_2170_1.jpg
Male
Adult
Profile
Yes
10,694
PK-face/vi26_765_1.jpg
Male
Adult
Three-Quarter
No
2,736
PK-face/DA10_1046_0.jpg
Male
Senior
Profile
Yes
16,347
PK-face/vi32_1644_1.jpg
Female
Adult
Frontal
No
19,407
PK-face/vi33_923_3.jpg
Male
Adult
Frontal
No
22,747
PK-face/vi36_431_0.jpg
Male
Adult
Frontal
Yes
12,292
PK-face/vi29_229_0.jpg
Male
Adult
Frontal
Yes
22,080
PK-face/vi35_496_0.jpg
Male
Adult
Frontal
No
6,578
PK-face/pa16_365_0.jpg
Male
Senior
Three-Quarter
No
4,036
PK-face/ME14_109_1.jpg
Male
Adult
Three-Quarter
No
9,293
PK-face/vi25_2081_0.jpg
Male
Adult
Profile
No
19,951
PK-face/vi34_1664_2.jpg
Male
Adult
Frontal
Yes
2,216
PK-face/CH9_405_1.jpg
Male
Senior
Profile
No
16,626
PK-face/vi32_1921_0.jpg
Female
Adult
Frontal
Yes
25,275
PK-face/vi39_1017_0.jpg
Male
Adult
Profile
No
27,147
PK-face/vi41_1048_2.jpg
Male
Adult
Profile
No
8,738
PK-face/vi25_1346_3.jpg
Female
Adult
Frontal
No
27,536
PK-face/vi41_1727_1.jpg
Female
Adult
Frontal
No
2,007
PK-face/CH9_1459_1.jpg
Male
Adult
Three-Quarter
No
733
PK-face/Ch4_237_2.jpg
Male
Senior
Frontal
Yes
10,000
PK-face/vi25_939_1.jpg
Female
Adult
Frontal
Yes
23,465
PK-face/vi37_164_1.jpg
Male
Adult
Frontal
No
21,492
PK-face/vi35_1830_2.jpg
Male
Adult
Frontal
No
18,924
PK-face/vi33_518_3.jpg
Male
Adult
Frontal
No
5,857
PK-face/pa16_158_0.jpg
Male
Adult
Frontal
No
5,637
PK-face/pa16_1363_1.jpg
Male
Adult
Frontal
No
18,264
PK-face/vi33_1239_0.jpg
Male
Adult
Profile
No
17,904
PK-face/vi32_971_0.jpg
Female
Adult
Frontal
Yes
25,155
PK-face/vi38_871_0.jpg
Male
Senior
Frontal
No
12,312
PK-face/vi29_254_1.jpg
Male
Adult
Profile
No
10,211
PK-face/vi26_1323_0.jpg
Male
Adult
Frontal
No
24,982
PK-face/vi38_673_0.jpg
Male
Adult
Profile
Yes
22,715
PK-face/vi36_388_3.jpg
Male
Juvenile
Frontal
No
23,966
PK-face/vi37_452_0.jpg
Male
Adult
Frontal
No
21,255
PK-face/vi35_1554_0.jpg
Male
Adult
Frontal
No
10,758
PK-face/vi26_899_2.jpg
Female
Adult
Frontal
Yes
22,803
PK-face/vi36_79_0.jpg
Male
Adult
Three-Quarter
Yes
23,724
PK-face/vi37_1871_1.jpg
Male
Adult
Profile
No
2,027
PK-face/CH9_1475_0.jpg
Male
Senior
Three-Quarter
No
9,575
PK-face/vi25_304_0.jpg
Male
Adult
Frontal
Yes
3,927
PK-face/ma13_354_3.jpg
Male
Adult
Three-Quarter
No
20,173
PK-face/vi34_438_0.jpg
Male
Adult
Frontal
No
3,971
PK-face/ma13_76_2.jpg
Male
Adult
Profile
No
25,080
PK-face/vi38_777_1.jpg
Male
Juvenile
Frontal
No
5,937
PK-face/pa16_168_1.jpg
Female
Adult
Frontal
Yes
16,262
PK-face/vi32_1556_2.jpg
Female
Senior
Frontal
Yes
17,023
PK-face/vi32_282_1.jpg
Male
Adult
Profile
No
9,075
PK-face/vi25_1795_0.jpg
Male
Adult
Three-Quarter
Yes
4,685
PK-face/ME14_209_1.jpg
Male
Adult
Frontal
No
20,643
PK-face/vi34_958_2.jpg
Female
Adult
Frontal
No
21,617
PK-face/vi35_1954_0.jpg
Male
Adult
Frontal
No
6,446
PK-face/pa16_2229_2.jpg
Male
Adult
Frontal
No
3,037
PK-face/DA10_1692_0.jpg
Female
Adult
Profile
No
21,630
PK-face/vi35_1963_0.jpg
Male
Adult
Profile
Yes
4,838
PK-face/ME14_455_1.jpg
Male
Adult
Profile
No
20,783
PK-face/vi35_1067_2.jpg
Male
Adult
Three-Quarter
Yes
12,326
PK-face/vi29_291_0.jpg
Male
Adult
Profile
No
20,897
PK-face/vi35_11_1.jpg
Male
Juvenile
Three-Quarter
No
9,306
PK-face/vi25_2106_0.jpg
Male
Juvenile
Frontal
Yes
19,952
PK-face/vi34_1666_0.jpg
Female
Adult
Frontal
Yes
1,983
PK-face/CH9_1426_0.jpg
Male
Juvenile
Frontal
No
27,110
PK-face/vi40_82_0.jpg
Male
Adult
Frontal
No
25,692
PK-face/vi39_1526_3.jpg
Male
Adult
Profile
No
27,519
PK-face/vi41_169_1.jpg
Female
Adult
Frontal
No
21,006
PK-face/vi35_1313_1.jpg
Male
Adult
Frontal
No
15,115
PK-face/vi31_597_2.jpg
Male
Adult
Frontal
No
8,205
PK-face/vi24_391_0.jpg
Female
Juvenile
Three-Quarter
Yes
25,625
PK-face/vi39_1476_2.jpg
Male
Adult
Profile
No
5,176
PK-face/ME14_871_0.jpg
Male
Adult
Profile
No
2,073
PK-face/CH9_208_2.jpg
Male
Adult
Profile
No
26,387
PK-face/vi39_338_0.jpg
Male
Senior
Frontal
Yes
10,882
PK-face/vi27_178_0.jpg
Male
Adult
Profile
No
10,789
PK-face/vi26_949_0.jpg
Male
Adult
Profile
No
17,157
PK-face/vi32_380_2.jpg
Male
Adult
Frontal
No
7,687
PK-face/va21_338_0.jpg
Male
Adult
Profile
No
4,103
PK-face/ME14_1171_3.jpg
Male
Adult
Profile
No
5,468
PK-face/pa16_1194_1.jpg
Female
Adult
Frontal
Yes
5,163
PK-face/ME14_861_0.jpg
Female
Adult
Frontal
Yes
1,875
PK-face/CH9_1282_0.jpg
Male
Adult
Profile
Yes
20,077
PK-face/vi34_261_3.jpg
Female
Juvenile
Frontal
Yes
3,260
PK-face/DA10_229_1.jpg
Male
Adult
Profile
No
6,654
PK-face/pa16_436_0.jpg
Female
Juvenile
Frontal
Yes
10,183
PK-face/vi26_126_0.jpg
Female
Adult
Profile
Yes
18,332
PK-face/vi33_1284_2.jpg
Female
Adult
Frontal
Yes
16,747
PK-face/vi32_2013_1.jpg
Female
Adult
Frontal
Yes
5,335
PK-face/pa16_1055_0.jpg
Male
Adult
Frontal
No
27,658
PK-face/vi41_1906_1.jpg
Female
Adult
Profile
No
21,196
PK-face/vi35_1497_0.jpg
Male
Adult
Frontal
Yes
16,623
PK-face/vi32_1920_0.jpg
Male
Adult
Frontal
No
19,975
PK-face/vi34_1724_0.jpg
Male
Adult
Profile
Yes
26,717
PK-face/vi39_684_1.jpg
Male
Adult
Frontal
No
End of preview.

SAFFIRE (South Asian Facial Features in Real Environments) is a high-quality annotated facial dataset designed for age, gender, occlusion, and pose estimation. It comprises diverse South Asian faces captured in real-world conditions, ensuring variability in lighting, background, and expressions. The dataset includes detailed annotations for facial attributes, making it valuable for robust AI model training.

For further information and citation please refer to the paper: SAFFIRE: South Asian Facial Features in Real Environments- a high-quality annotated facial dataset for Age, Gender, Occlusion, and Pose estimation

There are 2 files in the dataset: 1st PK-face.zip and 2nd Face-annotation.csv. The first file is a zipped compression of a folder containing actual facial images. While the later contains the details of annotation recorded for those facial images. The CSV file contains 6 columns details are as follows: ImageID: Unique ID of the image Path: Physical path of the image inside the uploaded folder Gender: Assigned gender to the facial image (Male or Female) Age-group: Assigned age group to the facial image (Juvenile: 0-18, Adult: 19-59, Senior: 60+) Pose: Assigned pose of the facial image (Frontal, Three-Quarter, Profile) Occlusive: Signifies whether the facial image is clear or occlusive in nature (Yes or No)
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