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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    FileNotFoundError
Message:      [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f7c6d7a9810>'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 249, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from 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/xml/xml.py", line 67, in _generate_tables
                  with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f:
                       ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                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 967, in xopen
                  return open(main_hop, mode, *args, **kwargs)
              FileNotFoundError: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f7c6d7a9810>'

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Banas AI: Coconut Loading to Coconut Shed

Asset Title: Multimodal Real-World Egocentric Video & Manipulation Dataset for Embodied AI

Banas AI is a specialized data provider supplying real-world, first-person (egocentric) physical datasets for artificial intelligence development. We focus on capturing human manipulation, spatial navigation, and complex physical tasks from a first-person perspective.

Target Use Cases

  1. Humanoid Robot Training & Sim-to-Real Transfer
  2. Large Multimodal Model (LMM) & Video Foundation Model Training
  3. Spatial Computing, AR/VR Gesture & Environmental Understanding
  4. Autonomous Navigation and Obstacle Avoidance

Modalities & Technical Specs

  • Video Format: High-Definition MP4/MKV
  • Sensor Streams: 6-DoF IMU telemetry, LiDAR depth maps, eye-tracking vectors.
  • Annotation Types: Unlabeled raw video, timestamped action labels.
  • Hardware Sources: Meta Ray-Ban, GoPro, Custom head-mounted rigs.

Legal & Compliance

All data is ethically collected with explicit, signed biometric consent. Incidental PII is automatically blurred. Small sample datasets are distributed under CC BY-NC for evaluation purposes.

*For enterprise licensing, contact contact@banas-ai.com or visit *https://www.banas-ai.com/

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