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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
scene: string
n_objects: int64
objects: list<item: struct<id: string, category: string, type: string, bbox_px: list<item: int64>, size_m: st (... 357 chars omitted)
  child 0, item: struct<id: string, category: string, type: string, bbox_px: list<item: int64>, size_m: struct<width_ (... 345 chars omitted)
      child 0, id: string
      child 1, category: string
      child 2, type: string
      child 3, bbox_px: list<item: int64>
          child 0, item: int64
      child 4, size_m: struct<width_m: double, height_m: double, depth_m: double>
          child 0, width_m: double
          child 1, height_m: double
          child 2, depth_m: double
      child 5, position_m: list<item: double>
          child 0, item: double
      child 6, flat_on_floor: bool
      child 7, wall: string
      child 8, wall_affinity: string
      child 9, facing: string
      child 10, next_to: null
      child 11, on_side_of: string
      child 12, behind: string
      child 13, in_front_of: int64
      child 14, on_top_of: int64
      child 15, group: string
      child 16, opening_relation: string
      child 17, furniture_index: int64
      child 18, furniture_type: string
      child 19, notes: string
_floor_first_ceil_dv_px: double
_floor_anchor_px: list<item: double>
  child 0, item: double
_floor_first_pitch_residual: double
_calibrated_ceil_y_m: double
_vggt_fov_h_deg: double
_floor_first_mesh_anchor_idx: int64
up: list<item: double>
  child 0, item: double
wall_context: struct<left: str
...
th_m: int64
      child 1, height_m: double
      child 2, surface: string
      child 3, features: list<item: null>
          child 0, item: null
  child 1, back: struct<length_m: double, height_m: double, surface: string, features: list<item: struct<type: string (... 66 chars omitted)
      child 0, length_m: double
      child 1, height_m: double
      child 2, surface: string
      child 3, features: list<item: struct<type: string, width_m: double, height_m: double, offset_from_left_m: double>>
          child 0, item: struct<type: string, width_m: double, height_m: double, offset_from_left_m: double>
              child 0, type: string
              child 1, width_m: double
              child 2, height_m: double
              child 3, offset_from_left_m: double
height_px: int64
_anchor_transform_R_align: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
vfov_deg: double
look_at_m: list<item: double>
  child 0, item: double
_floor_only_look_at_m: list<item: double>
  child 0, item: double
position_m: list<item: double>
  child 0, item: double
_floor_first_converged: bool
_anchor_transform_t_align: list<item: double>
  child 0, item: double
_floor_only_position_m: list<item: double>
  child 0, item: double
width_px: int64
_ceil_anchor_px: list<item: double>
  child 0, item: double
_floor_first_mesh_anchor_floor: list<item: double>
  child 0, item: double
_vggt_fov_v_deg: double
_floor_first_yaw_residual: double
hfov_deg: double
to
{'position_m': List(Value('float64')), 'look_at_m': List(Value('float64')), 'up': List(Value('float64')), 'hfov_deg': Value('float64'), 'vfov_deg': Value('float64'), 'width_px': Value('int64'), 'height_px': Value('int64'), 'wall_context': {'left': {'length_m': Value('int64'), 'height_m': Value('float64'), 'surface': Value('string'), 'features': List(Value('null'))}, 'back': {'length_m': Value('float64'), 'height_m': Value('float64'), 'surface': Value('string'), 'features': List({'type': Value('string'), 'width_m': Value('float64'), 'height_m': Value('float64'), 'offset_from_left_m': Value('float64')})}}, '_anchor_transform_R_align': List(List(Value('float64'))), '_anchor_transform_t_align': List(Value('float64')), '_floor_first_converged': Value('bool'), '_floor_first_yaw_residual': Value('float64'), '_floor_first_pitch_residual': Value('float64'), '_floor_first_mesh_anchor_idx': Value('int64'), '_floor_first_mesh_anchor_floor': List(Value('float64')), '_floor_first_ceil_dv_px': Value('float64'), '_calibrated_ceil_y_m': Value('float64'), '_floor_only_position_m': List(Value('float64')), '_floor_only_look_at_m': List(Value('float64')), '_floor_anchor_px': List(Value('float64')), '_ceil_anchor_px': List(Value('float64')), '_vggt_fov_h_deg': Value('float64'), '_vggt_fov_v_deg': Value('float64')}
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/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, 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
              scene: string
              n_objects: int64
              objects: list<item: struct<id: string, category: string, type: string, bbox_px: list<item: int64>, size_m: st (... 357 chars omitted)
                child 0, item: struct<id: string, category: string, type: string, bbox_px: list<item: int64>, size_m: struct<width_ (... 345 chars omitted)
                    child 0, id: string
                    child 1, category: string
                    child 2, type: string
                    child 3, bbox_px: list<item: int64>
                        child 0, item: int64
                    child 4, size_m: struct<width_m: double, height_m: double, depth_m: double>
                        child 0, width_m: double
                        child 1, height_m: double
                        child 2, depth_m: double
                    child 5, position_m: list<item: double>
                        child 0, item: double
                    child 6, flat_on_floor: bool
                    child 7, wall: string
                    child 8, wall_affinity: string
                    child 9, facing: string
                    child 10, next_to: null
                    child 11, on_side_of: string
                    child 12, behind: string
                    child 13, in_front_of: int64
                    child 14, on_top_of: int64
                    child 15, group: string
                    child 16, opening_relation: string
                    child 17, furniture_index: int64
                    child 18, furniture_type: string
                    child 19, notes: string
              _floor_first_ceil_dv_px: double
              _floor_anchor_px: list<item: double>
                child 0, item: double
              _floor_first_pitch_residual: double
              _calibrated_ceil_y_m: double
              _vggt_fov_h_deg: double
              _floor_first_mesh_anchor_idx: int64
              up: list<item: double>
                child 0, item: double
              wall_context: struct<left: str
              ...
              th_m: int64
                    child 1, height_m: double
                    child 2, surface: string
                    child 3, features: list<item: null>
                        child 0, item: null
                child 1, back: struct<length_m: double, height_m: double, surface: string, features: list<item: struct<type: string (... 66 chars omitted)
                    child 0, length_m: double
                    child 1, height_m: double
                    child 2, surface: string
                    child 3, features: list<item: struct<type: string, width_m: double, height_m: double, offset_from_left_m: double>>
                        child 0, item: struct<type: string, width_m: double, height_m: double, offset_from_left_m: double>
                            child 0, type: string
                            child 1, width_m: double
                            child 2, height_m: double
                            child 3, offset_from_left_m: double
              height_px: int64
              _anchor_transform_R_align: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              vfov_deg: double
              look_at_m: list<item: double>
                child 0, item: double
              _floor_only_look_at_m: list<item: double>
                child 0, item: double
              position_m: list<item: double>
                child 0, item: double
              _floor_first_converged: bool
              _anchor_transform_t_align: list<item: double>
                child 0, item: double
              _floor_only_position_m: list<item: double>
                child 0, item: double
              width_px: int64
              _ceil_anchor_px: list<item: double>
                child 0, item: double
              _floor_first_mesh_anchor_floor: list<item: double>
                child 0, item: double
              _vggt_fov_v_deg: double
              _floor_first_yaw_residual: double
              hfov_deg: double
              to
              {'position_m': List(Value('float64')), 'look_at_m': List(Value('float64')), 'up': List(Value('float64')), 'hfov_deg': Value('float64'), 'vfov_deg': Value('float64'), 'width_px': Value('int64'), 'height_px': Value('int64'), 'wall_context': {'left': {'length_m': Value('int64'), 'height_m': Value('float64'), 'surface': Value('string'), 'features': List(Value('null'))}, 'back': {'length_m': Value('float64'), 'height_m': Value('float64'), 'surface': Value('string'), 'features': List({'type': Value('string'), 'width_m': Value('float64'), 'height_m': Value('float64'), 'offset_from_left_m': Value('float64')})}}, '_anchor_transform_R_align': List(List(Value('float64'))), '_anchor_transform_t_align': List(Value('float64')), '_floor_first_converged': Value('bool'), '_floor_first_yaw_residual': Value('float64'), '_floor_first_pitch_residual': Value('float64'), '_floor_first_mesh_anchor_idx': Value('int64'), '_floor_first_mesh_anchor_floor': List(Value('float64')), '_floor_first_ceil_dv_px': Value('float64'), '_calibrated_ceil_y_m': Value('float64'), '_floor_only_position_m': List(Value('float64')), '_floor_only_look_at_m': List(Value('float64')), '_floor_anchor_px': List(Value('float64')), '_ceil_anchor_px': List(Value('float64')), '_vggt_fov_h_deg': Value('float64'), '_vggt_fov_v_deg': Value('float64')}
              because column names don't match

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HARMONY300

HARMONY300 is a benchmark of 300 indoor scenes for single-image 3D scene reconstruction. Each case pairs a real (or synthetic) reference photo of a room with a reconstructed 3D scene and a physically-lit render, produced by the SceneWeave pipeline.

Splits

difficulty scenes description
easy 100 synthetic rooms (3D-FRONT renders)
medium 100 real photos, single dominant layout
complicated 100 real photos, cluttered / multi-object layouts
total 300

Per-scene contents

Each \<difficulty\>/\<room_type\>_NN/ folder contains:

file description
input.* reference photo (the model input)
render_blender.png physically-lit Blender/Cycles render of the reconstruction
scene_full.glb reconstructed 3D scene (shell + furniture + decorations)
camera_vggt.json camera intrinsics/extrinsics used for the render

Scenes are named \<room_type\>_NN (e.g. living_room_01, bedroom_12, kitchen_02) with a global per-type counter.

License & attribution

This dataset mixes sources with different terms. It is released under CC-BY-NC-4.0 (non-commercial, attribution) — the most restrictive of the constituent licenses (3D-FRONT) applied uniformly for safety.

source scenes terms
Pexels 196 Pexels License — free use, attribution not required
Unsplash 2 Unsplash License — free use, attribution not required
3D-FRONT 100 non-commercial research only; must cite 3D-FRONT
3D-FUTURE 2 synthetic renders (via SceneGen); non-commercial research only; must cite 3D-FUTURE
  • Per-scene source and URLs are listed in attribution.csv.
  • Input images remain under their original source licenses (Pexels / Unsplash / 3D-FRONT); this dataset redistributes them, it does not relicense them. The generated 3D assets and renders are provided for non-commercial research use.
  • The easy (3D-FRONT) split may not be used commercially and requires citation of the 3D-FRONT dataset.

Takedown

If you are a rights holder and want an image removed, please open an issue or contact the maintainer; the corresponding scene will be removed promptly.

Citation

If you use HARMONY300, please cite this benchmark and the 3D-FRONT dataset used for the easy split:

@misc{harmony300,
  title  = {HARMONY300: A Benchmark for Single-Image Indoor 3D Scene Reconstruction},
  author = {Sun, Shufan and others},
  year   = {2026},
  note   = {https://huggingface.co/datasets/ShufanSun/HARMONY300}
}

@inproceedings{fu20213dfront,
  title     = {3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics},
  author    = {Fu, Huan and Cai, Bowen and Gao, Lin and others},
  booktitle = {ICCV},
  year      = {2021}
}

@article{fu20213dfuture,
  title   = {3D-FUTURE: 3D Furniture Shape with TextURE},
  author  = {Fu, Huan and Jia, Rongfei and Gao, Lin and others},
  journal = {International Journal of Computer Vision (IJCV)},
  year    = {2021}
}
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