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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<id: string, bucket: string, scene_hash: string, csv_image_dir: string, raw_image_dir: string, source_zip: string, source_transforms_member: string, source_image_prefix: string, source_relpath: string, source_chunk: string, source_url: string, csv_num_frames: int64, csv_width: int64, csv_height: int64, csv_resolution: int64, aspect_ratio: double, aesthetic_score: string, luminance_mean: string, luminance_min: string, luminance_max: string, motion_score: string, ocr_score: string, caption_source: string, scene_static_caption: struct<source_model: string, caption_policy: string, category: string, outlier_scene_type: string, updated_at_utc: string, previous_prompt_source: string>, prompt_status: string>
to
{'id': Value('string'), 'bucket': Value('string'), 'scene_hash': Value('string'), 'csv_image_dir': Value('string'), 'raw_image_dir': Value('string'), 'source_zip': Value('string'), 'source_transforms_member': Value('string'), 'source_image_prefix': Value('string'), 'source_relpath': Value('string'), 'source_chunk': Value('string'), 'source_url': Value('string'), 'csv_num_frames': Value('int64'), 'csv_width': Value('int64'), 'csv_height': Value('int64'), 'csv_resolution': Value('int64'), 'aspect_ratio': Value('float64'), 'aesthetic_score': Value('string'), 'luminance_mean': Value('string'), 'luminance_min': Value('string'), 'luminance_max': Value('string'), 'motion_score': Value('string'), 'ocr_score': Value('string'), 'caption_source': Value('string'), 'scene_static_caption': {'source_model': Value('string'), 'caption_policy': Value('string'), 'category': Value('string'), 'outlier_scene_type': Value('string'), 'updated_at_utc': Value('string'), 'previous_prompt_source': Value('string')}}
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<id: string, bucket: string, scene_hash: string, csv_image_dir: string, raw_image_dir: string, source_zip: string, source_transforms_member: string, source_image_prefix: string, source_relpath: string, source_chunk: string, source_url: string, csv_num_frames: int64, csv_width: int64, csv_height: int64, csv_resolution: int64, aspect_ratio: double, aesthetic_score: string, luminance_mean: string, luminance_min: string, luminance_max: string, motion_score: string, ocr_score: string, caption_source: string, scene_static_caption: struct<source_model: string, caption_policy: string, category: string, outlier_scene_type: string, updated_at_utc: string, previous_prompt_source: string>, prompt_status: string>
to
{'id': Value('string'), 'bucket': Value('string'), 'scene_hash': Value('string'), 'csv_image_dir': Value('string'), 'raw_image_dir': Value('string'), 'source_zip': Value('string'), 'source_transforms_member': Value('string'), 'source_image_prefix': Value('string'), 'source_relpath': Value('string'), 'source_chunk': Value('string'), 'source_url': Value('string'), 'csv_num_frames': Value('int64'), 'csv_width': Value('int64'), 'csv_height': Value('int64'), 'csv_resolution': Value('int64'), 'aspect_ratio': Value('float64'), 'aesthetic_score': Value('string'), 'luminance_mean': Value('string'), 'luminance_min': Value('string'), 'luminance_max': Value('string'), 'motion_score': Value('string'), 'ocr_score': Value('string'), 'caption_source': Value('string'), 'scene_static_caption': {'source_model': Value('string'), 'caption_policy': Value('string'), 'category': Value('string'), 'outlier_scene_type': Value('string'), 'updated_at_utc': Value('string'), 'previous_prompt_source': Value('string')}}
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 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
sample_id string | dataset string | split string | video dict | prompt dict | camera dict | metadata dict |
|---|---|---|---|---|---|---|
RealEstate10K-360p/train__ff3eee34e57cf3e5 | RealEstate10K-360p | train | {
"path": "videos/train/ff3eee34e57cf3e5.mp4",
"source_path": "train/ff3eee34e57cf3e5",
"status": "ready",
"num_frames": 70,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A spacious mountain lodge great room combines a dining area and living area under a vaulted ceiling with exposed wooden beams. A large oval wooden dining table with matching chairs sits beneath an antler chandelier, while an orchid centerpiece rests on the table. A massive stone fireplace with a wooden man... | {
"path": "cameras/train/ff3eee34e57cf3e5.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 70,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__ff3eee34e57cf3e5",
"bucket": "train",
"scene_hash": "ff3eee34e57cf3e5",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/ff3eee34e57cf3e5",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__cd69cde6b6bab65c | RealEstate10K-360p | train | {
"path": "videos/train/cd69cde6b6bab65c.mp4",
"source_path": "train/cd69cde6b6bab65c",
"status": "ready",
"num_frames": 102,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A neatly arranged bedroom features white walls with chair-rail molding and warm hardwood flooring throughout. The central bed is dressed in white linens with a dark throw and assorted accent pillows, positioned beneath a large black-and-white floral canvas. Matching table lamps with white shades rest on gl... | {
"path": "cameras/train/cd69cde6b6bab65c.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 102,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__cd69cde6b6bab65c",
"bucket": "train",
"scene_hash": "cd69cde6b6bab65c",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/cd69cde6b6bab65c",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__a1d5d19d06c605ef | RealEstate10K-360p | train | {
"path": "videos/train/a1d5d19d06c605ef.mp4",
"source_path": "train/a1d5d19d06c605ef",
"status": "ready",
"num_frames": 117,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A spacious living room with a high ceiling connects through a wide archway to a kitchen and dining area. The living space features dark upholstered sofas, a coffee table, and a console table beneath a large framed painting. Light hardwood floors extend throughout, complementing cream-colored walls. Tall wi... | {
"path": "cameras/train/a1d5d19d06c605ef.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 117,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__a1d5d19d06c605ef",
"bucket": "train",
"scene_hash": "a1d5d19d06c605ef",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/a1d5d19d06c605ef",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__b0c97926eca1b63b | RealEstate10K-360p | train | {
"path": "videos/train/b0c97926eca1b63b.mp4",
"source_path": "train/b0c97926eca1b63b",
"status": "ready",
"num_frames": 115,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A clean, traditional kitchen with pale green walls and warm wood flooring features white cabinetry with glass-front uppers and dark countertops. A stainless steel double sink sits beneath a large window beside a glass-paneled exterior door adorned with a wreath that adjoins a patio with white chairs. A woo... | {
"path": "cameras/train/b0c97926eca1b63b.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 115,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__b0c97926eca1b63b",
"bucket": "train",
"scene_hash": "b0c97926eca1b63b",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/b0c97926eca1b63b",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__d358cb839f4c7497 | RealEstate10K-360p | train | {
"path": "videos/train/d358cb839f4c7497.mp4",
"source_path": "train/d358cb839f4c7497",
"status": "ready",
"num_frames": 69,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A child's bedroom with pink painted walls and light carpet features a wooden bed draped with a sheer pink canopy and covered with patterned pink bedding and a red heart-shaped pillow. A tall lime-green wardrobe stands beside a white cube shelving unit filled with toys, baskets, and stuffed animals. A ceili... | {
"path": "cameras/train/d358cb839f4c7497.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 69,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__d358cb839f4c7497",
"bucket": "train",
"scene_hash": "d358cb839f4c7497",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/d358cb839f4c7497",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__7046980b0d3d3c63 | RealEstate10K-360p | train | {
"path": "videos/train/7046980b0d3d3c63.mp4",
"source_path": "train/7046980b0d3d3c63",
"status": "ready",
"num_frames": 81,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A basement utility room functions as a laundry and mechanical space with exposed ceiling joists, ductwork, and copper pipes. A cylindrical water heater stands near a dark front-loading washer and dryer set topped with a white laundry basket. A deep white utility sink with exposed plumbing sits beneath a sm... | {
"path": "cameras/train/7046980b0d3d3c63.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 81,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__7046980b0d3d3c63",
"bucket": "train",
"scene_hash": "7046980b0d3d3c63",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/7046980b0d3d3c63",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__63c4a6e3f38760e2 | RealEstate10K-360p | train | {
"path": "videos/train/63c4a6e3f38760e2.mp4",
"source_path": "train/63c4a6e3f38760e2",
"status": "ready",
"num_frames": 90,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "The kitchen features an L-shaped run of light wood cabinets with dark green laminate countertops. A black side-by-side refrigerator stands at the left end of the cabinet run, while a black dishwasher sits to the right of a stainless steel double-basin sink beneath a white-trimmed window. A second window ab... | {
"path": "cameras/train/63c4a6e3f38760e2.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 90,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__63c4a6e3f38760e2",
"bucket": "train",
"scene_hash": "63c4a6e3f38760e2",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/63c4a6e3f38760e2",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__e418773dd5f757ed | RealEstate10K-360p | train | {
"path": "videos/train/e418773dd5f757ed.mp4",
"source_path": "train/e418773dd5f757ed",
"status": "ready",
"num_frames": 109,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A spacious kitchen centers on a large island with a marble-patterned countertop and dark wood base cabinets, with matching wood cabinetry framing a white French-door refrigerator. The open layout connects to a living area with a fireplace and ceiling fan, while a wide doorway leads to a dining space illumi... | {
"path": "cameras/train/e418773dd5f757ed.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 109,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__e418773dd5f757ed",
"bucket": "train",
"scene_hash": "e418773dd5f757ed",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/e418773dd5f757ed",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__c02870011a3c5afa | RealEstate10K-360p | train | {
"path": "videos/train/c02870011a3c5afa.mp4",
"source_path": "train/c02870011a3c5afa",
"status": "ready",
"num_frames": 225,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A residential hallway with polished hardwood floors and light cream walls connects multiple living spaces. A sweeping curved wooden staircase with rounded balusters anchors one side, flanked by metallic crane sculptures at its base. A dark wood console table holds a silver-striped vase of white flowers and... | {
"path": "cameras/train/c02870011a3c5afa.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 225,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__c02870011a3c5afa",
"bucket": "train",
"scene_hash": "c02870011a3c5afa",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/c02870011a3c5afa",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__bb921538d58b7231 | RealEstate10K-360p | train | {
"path": "videos/train/bb921538d58b7231.mp4",
"source_path": "train/bb921538d58b7231",
"status": "ready",
"num_frames": 96,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A living room with white walls and carpeted flooring connects through an open doorway to a carpeted bedroom with a ceiling fan and a bed against the right wall. A wood-framed sofa with patterned brown upholstery sits against the right wall, with a small pink stuffed toy on the cushion. To the left, sliding... | {
"path": "cameras/train/bb921538d58b7231.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 96,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__bb921538d58b7231",
"bucket": "train",
"scene_hash": "bb921538d58b7231",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/bb921538d58b7231",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__67bd3eefd07e6042 | RealEstate10K-360p | train | {
"path": "videos/train/67bd3eefd07e6042.mp4",
"source_path": "train/67bd3eefd07e6042",
"status": "ready",
"num_frames": 174,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A traditional living room features hardwood floors, cream walls, and a light area rug beneath a round wooden coffee table. A gray sofa with patterned pillows sits below a large vibrant floral painting. A white painted fireplace mantel holds potted plants and a mirror, flanked by French doors with glass pan... | {
"path": "cameras/train/67bd3eefd07e6042.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 174,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__67bd3eefd07e6042",
"bucket": "train",
"scene_hash": "67bd3eefd07e6042",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/67bd3eefd07e6042",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__e4774e728791dc20 | RealEstate10K-360p | train | {
"path": "videos/train/e4774e728791dc20.mp4",
"source_path": "train/e4774e728791dc20",
"status": "ready",
"num_frames": 67,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "An upper-floor hallway with beige walls and white trim connects to two rooms through open doorways. On the left, a bedroom with blue-gray walls contains a bed dressed in patterned bedding and a large black-and-white wall decoration. On the right, a room with pale yellow walls and a bright window has light ... | {
"path": "cameras/train/e4774e728791dc20.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 67,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__e4774e728791dc20",
"bucket": "train",
"scene_hash": "e4774e728791dc20",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/e4774e728791dc20",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__b7bd6d27ca23e643 | RealEstate10K-360p | train | {
"path": "videos/train/b7bd6d27ca23e643.mp4",
"source_path": "train/b7bd6d27ca23e643",
"status": "ready",
"num_frames": 124,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
"text": "A kitchen with white cabinetry and black granite countertops connects through a wide opening to a living room with hardwood floors, a dark sofa, and a white fireplace mantel beneath a wall-mounted television. The kitchen features a stainless steel dishwasher, glass-front upper cabinets, and a small desk ar... | {
"path": "cameras/train/b7bd6d27ca23e643.npz",
"format": "per_frame_camera_npz_v1",
"num_frames": 124,
"pose_convention": "opencv_c2w",
"intrinsics_format": "fx_fy_cx_cy_pixels_original_resolution",
"width": 640,
"height": 360
} | {
"id": "train__b7bd6d27ca23e643",
"bucket": "train",
"scene_hash": "b7bd6d27ca23e643",
"csv_image_dir": "frames",
"raw_image_dir": "frames",
"source_zip": "",
"source_transforms_member": "",
"source_image_prefix": "",
"source_relpath": "train/b7bd6d27ca23e643",
"source_chunk": "000000.torch",
"so... |
RealEstate10K-360p/train__3a4e08a3f02ad769 | RealEstate10K-360p | train | {
"path": "videos/train/3a4e08a3f02ad769.mp4",
"source_path": "train/3a4e08a3f02ad769",
"status": "ready",
"num_frames": 137,
"fps": 30,
"width": 640,
"height": 360,
"resolution": "640x360"
} | {
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"text": "A traditional living room with a bay window covered by sheer curtains connects to an entryway hall with tiled flooring. The living area contains a striped wingback chair, a sofa with throw pillows, a wooden coffee table on a patterned blue rug, and a small desk with a lamp beneath the windows. Several pain... | {
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RealEstate10K-360p/train__2a81b1108954eada | RealEstate10K-360p | train | {
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"text": "A carpeted stairwell occupies the center of a bright residential interior, with an open connection to a combined dining and kitchen space on one side. The stairs have light beige carpet and natural wood railings with rounded balusters. White walls and dark hardwood flooring define the main level, where a d... | {
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RealEstate10K-360p/train__c66200fd7d05a5e4 | RealEstate10K-360p | train | {
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"text": "A cluster of modern high-rise residential towers dominates an urban intersection, their facades clad in reflective teal-tinted glass and dark metal framing. The tallest central tower stands over a lower podium with floor-to-ceiling glazing, while flanking towers vary in height and glass pattern. Traffic si... | {
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