Loc3R-VLM: Language-based Localization and 3D Reasoning with Vision-Language Models
Paper • 2603.18002 • Published • 15
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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'position'})
This happened while the json dataset builder was generating data using
hf://datasets/kevinqu7/loc3r-vlm-data/training/sqa3d_train.json (at revision a17ba25ac0fb5b090af90a01b3354681a49094a4), ['hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/msqa_scannet_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/scanqa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/sqa3d_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_arkitscenes_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannet_qa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannet_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannetpp_qa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannetpp_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vsibench10k_train.json'], ['hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/msqa_scannet_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/scanqa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/sqa3d_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_arkitscenes_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannet_qa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannet_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannetpp_qa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannetpp_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vsibench10k_train.json']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
id: string
benchmark: string
question_id: int64
video: string
position: list<item: double>
child 0, item: double
situation: string
situation_bev_4d: list<item: double>
child 0, item: double
conversations: list<item: struct<from: string, value: string>>
child 0, item: struct<from: string, value: string>
child 0, from: string
child 1, value: string
to
{'id': Value('string'), 'benchmark': Value('string'), 'video': Value('string'), 'question_id': Value('string'), 'situation': Value('string'), 'situation_bev_4d': List(Value('float64')), 'conversations': List({'from': Value('string'), 'value': Value('string')})}
because column names don't match
During handling of the above exception, another exception occurred:
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 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 1 new columns ({'position'})
This happened while the json dataset builder was generating data using
hf://datasets/kevinqu7/loc3r-vlm-data/training/sqa3d_train.json (at revision a17ba25ac0fb5b090af90a01b3354681a49094a4), ['hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/msqa_scannet_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/scanqa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/sqa3d_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_arkitscenes_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannet_qa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannet_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannetpp_qa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannetpp_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vsibench10k_train.json'], ['hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/msqa_scannet_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/scanqa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/sqa3d_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_arkitscenes_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannet_qa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannet_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannetpp_qa_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vlm3r_scannetpp_routeplan_train.json', 'hf://datasets/kevinqu7/loc3r-vlm-data@a17ba25ac0fb5b090af90a01b3354681a49094a4/training/vsibench10k_train.json']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id string | benchmark string | video string | question_id string | situation string | situation_bev_4d list | conversations list |
|---|---|---|---|---|---|---|
tbd | msr3d | scannet/scene0413_00 | scannet_train_0 | There is a varied object at my 12 o'clock direction. A white oval sink is at my 8 o'clock, with a smooth ceramic texture. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nCan you describe the texture of the towel on my left?"
},
{
"from": "gpt",
"value": "soft"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_1 | I am installing a door. A white oval sink is at my 8 o'clock, with a smooth ceramic texture. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nHow many towels are hanging near me on my left?"
},
{
"from": "gpt",
"value": "zero"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_2 | I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nWhich object is supported by the shoes on my right?"
},
{
"from": "gpt",
"value": "the shoe"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_3 | I am installing a door. There is a varied object at my 12 o'clock direction. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\n'How do I reach the bathroom vanity? Please provide a direction(behind, in front of, left, right).'"
},
{
"from": "gpt",
"value": "turn to your left."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_4 | A white oval sink is at my 8 o'clock, with a smooth ceramic texture. I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nCan you name all the objects that are far from me?"
},
{
"from": "gpt",
"value": "a shower, a fan, and two walls"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_5 | I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nBased on the objects around me, what type of room am I likely in?"
},
{
"from": "gpt",
"value": "a bathroom"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_6 | There is a varied object at my 12 o'clock direction. I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nCan you describe the sink at my 8 o'clock?"
},
{
"from": "gpt",
"value": "it's a white oval sink made of ceramic or porcelain, with a smooth texture and an inset structure with a visible faucet and countertop. it's in a clean state."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_7 | I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nWhat is the structure of the door at my 10 o'clock?"
},
{
"from": "gpt",
"value": "panel"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_8 | I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nHow many towels are hanging at my 10 o'clock?"
},
{
"from": "gpt",
"value": "three"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_9 | I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nWhat is the spatial relationship between the mirror and the bathroom vanity at my 8 o'clock?"
},
{
"from": "gpt",
"value": "the mirror is on the bathroom vanity."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_10 | I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nCan you describe the object at my 12 o'clock?"
},
{
"from": "gpt",
"value": "it's an object with varied colors, mixed 3d shape, made of various materials, with varied texture, assorted structure, and in a static state."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_11 | I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nIn which direction is the shower located? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "at your 12 o'clock"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_12 | There is a varied object at my 12 o'clock direction. I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nWhere is the shoes located in relation to the closet?"
},
{
"from": "gpt",
"value": "the shoes are inside the closet."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_13 | I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nCan you describe the sink?"
},
{
"from": "gpt",
"value": "it's a white sink with an oval shape, made of ceramic or porcelain, with a smooth texture, designed as a washbasin, and it's inset with a visible faucet and countertop, and it's clean."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_14 | I am installing a door. | [
0.6260538483,
-0.1646539154,
-0.9998564428,
-0.0169438409
] | [
{
"from": "human",
"value": "<image>\nWhat is the relationship between shoe rack and bathroom vanity?"
},
{
"from": "gpt",
"value": "the shoe rack is in front of the bathroom vanity."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_15 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nHow many towels are hanging near me on my right?"
},
{
"from": "gpt",
"value": "zero"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_16 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nHow do I reach the door? Please provide a direction (behind, in front of, left, right)."
},
{
"from": "gpt",
"value": "turn to your right."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_17 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nCan you name all the objects that are near me?"
},
{
"from": "gpt",
"value": "a shoe rack, shoes, clothing, a closet, a shower, towels, a bathroom vanity, a sink, a toilet, a mirror, doors, a doorframe, and walls"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_18 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nHow many towels are hanging at my 5 o'clock?"
},
{
"from": "gpt",
"value": "two"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_19 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nWhat is the texture of the towel at my 4 o'clock?"
},
{
"from": "gpt",
"value": "soft, possibly fluffy"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_20 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nHow many shoes are inside the closet at my 11 o'clock?"
},
{
"from": "gpt",
"value": "six"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_21 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nIn which direction can I find an object used for drying? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "at your 5 o'clock"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_22 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nCan you guide me to the object used for circulating air? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "the fan is at your 12 o'clock."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_23 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nWhat is the color and texture of the towel at my 4 o'clock?"
},
{
"from": "gpt",
"value": "beige, soft"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_24 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nWhere is the toilet located in relation to the towel?"
},
{
"from": "gpt",
"value": "the towel is above the toilet."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_25 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nCan you describe the shower?"
},
{
"from": "gpt",
"value": "it's a transparent/clear cuboid-shaped shower door made of glass/metal, with a smooth texture, framed glass panels, and it's currently closed."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_26 | There is a blue clothing hanging loosely at my 11 o'clock, a dark shoes used, and a transparent shower closed at my 6 o'clock. | [
0.5892327816,
-0.1931538331,
0.998164395,
0.0605626994
] | [
{
"from": "human",
"value": "<image>\nWhat is the relationship between shoe rack and bathroom vanity?"
},
{
"from": "gpt",
"value": "the shoe rack is to the left of the bathroom vanity."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_27 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nCan you describe the towel in the middle distance on my left?"
},
{
"from": "gpt",
"value": "the gray towel is hanging and has a soft texture, used for drying."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_28 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nHow many pairs of shoes are inside the closet on my right?"
},
{
"from": "gpt",
"value": "six"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_29 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nWhich object is placed within the area of the closet on my right?"
},
{
"from": "gpt",
"value": "shoe rack"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_30 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nCan you name all the objects near me?"
},
{
"from": "gpt",
"value": "a shower, towels, a doorframe, a wall, a toilet, a sink, a closet, clothing, a shoe rack, shoes, a closet rod, a fan, a door, and an object"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_31 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nBased on the objects around me, what type of room am I likely in?"
},
{
"from": "gpt",
"value": "a bathroom or a laundry room"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_32 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nCan you describe the mirror located at my 7 o'clock?"
},
{
"from": "gpt",
"value": "it's a mirror on the bathroom vanity."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_33 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nWhat is the color of the fan at my 5 o'clock?"
},
{
"from": "gpt",
"value": "black"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_34 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nWhat is the state of the shoes at my 4 o'clock?"
},
{
"from": "gpt",
"value": "used"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_35 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nIn which direction can I find an object used for washing? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "at your 7 o'clock"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_36 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nWhat is the spatial relationship between the towel and the toilet at my 9 o'clock?"
},
{
"from": "gpt",
"value": "the towel is below the toilet."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_37 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nWhat is the state of the towel?"
},
{
"from": "gpt",
"value": "hanging"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_38 | There is a white door with a smooth texture and a panel structure in my 2 o'clock direction. A mirror is at my 7 o'clock. | [
0.7621834007,
0.3213408941,
-0.9475644059,
0.3195648553
] | [
{
"from": "human",
"value": "<image>\nWhat is the relationship between sink and mirror?"
},
{
"from": "gpt",
"value": "the sink is supported by the bathroom vanity, which also supports the mirror."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_39 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nCan you describe the shoes inside the closet on my left?"
},
{
"from": "gpt",
"value": "the shoes include black and white, dark, and black footwear, some of which appear to be new or gently used, and are placed within the closet."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_40 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nHow many towels are hanging in the back area?"
},
{
"from": "gpt",
"value": "two"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_41 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nWhat is the relationship between the clothing and the closet on my left?"
},
{
"from": "gpt",
"value": "the clothing is placed within the area of the closet."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_42 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nWhich object is lower, the toilet or the towel on my right?"
},
{
"from": "gpt",
"value": "the toilet"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_43 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nHow do I reach the wall? Please provide a direction(behind, in front of, left, right) and the distance information (far/middle/near)."
},
{
"from": "gpt",
"value": "turn left and walk to the near distance."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_44 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nCan you name all the objects that are near me?"
},
{
"from": "gpt",
"value": "a wall, clothing, a closet, shoes, a closet rod, and a shoe rack"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_45 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nBased on the objects around me, what type of room am I likely in?"
},
{
"from": "gpt",
"value": "a closet or dressing room"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_46 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nWhat is the state of the shower at my 6 o'clock?"
},
{
"from": "gpt",
"value": "closed"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_47 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nHow many towels are hanging at my 5 o'clock?"
},
{
"from": "gpt",
"value": "four"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_48 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nCan you describe the toilet at my 5 o'clock?"
},
{
"from": "gpt",
"value": "it's a white toilet with an oval and rectangular shape, made of ceramic, used for sanitation, and in a clean state."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_49 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nCan you guide me to the object used for washing hands? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "the sink is at your 4 o'clock."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_50 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nWhat is the spatial relationship between the closet rod and the shoes at my 10 o'clock?"
},
{
"from": "gpt",
"value": "the closet rod is higher than the shoes."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_51 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nWhat object at my 5 o'clock is used for light control and privacy?"
},
{
"from": "gpt",
"value": "window"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_52 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nWhat is the usage of the sink?"
},
{
"from": "gpt",
"value": "washbasin"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_53 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nWhere is the shower located in relation to the fan?"
},
{
"from": "gpt",
"value": "the shower is behind the fan."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_54 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nCan you describe the closet?"
},
{
"from": "gpt",
"value": "it's a white rectangular prism-shaped storage unit made of mixed materials, with a mixed texture, designed for storage, enclosed, and in use."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_56 | There is a black shoe in my 8 o'clock direction. Two gray towel and towel are hanging on the wall at my 5 o'clock direction. | [
-0.730805577,
-0.6488017144,
0.9796981867,
0.2004780861
] | [
{
"from": "human",
"value": "<image>\nWhat is the relationship between sink and mirror?"
},
{
"from": "gpt",
"value": "the sink is placed within the area of the bathroom vanity, which supports the mirror."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_57 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\nIs the sink behind me clean?"
},
{
"from": "gpt",
"value": "yes"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_58 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\nHow many pairs of shoes are inside the closet on my right?"
},
{
"from": "gpt",
"value": "three pairs"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_59 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\nCan you name the objects placed within the area of the closet on my right?"
},
{
"from": "gpt",
"value": "clothing, shoe rack, shoes, closet rod, and fan"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_60 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\nBased on the objects around me, what type of room am I likely in?"
},
{
"from": "gpt",
"value": "a bathroom or a restroom"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_61 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\nHow many shoes are inside the closet at my 3 o'clock?"
},
{
"from": "gpt",
"value": "seven"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_62 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\nCan you describe the mirror located at my 5 o'clock?"
},
{
"from": "gpt",
"value": "it's a mirror resting on the bathroom vanity, likely used for personal grooming and reflection."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_63 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\nHow many towels are hanging in the bathroom at my 5 o'clock?"
},
{
"from": "gpt",
"value": "three"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_64 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\nWhat is the usage of the closet at my 3 o'clock?"
},
{
"from": "gpt",
"value": "storage"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_65 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\n'In which direction can I find an object used for sanitation? Please provide a clock-wise direction (1-12 o'clock).'"
},
{
"from": "gpt",
"value": "at your 7 o'clock"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_66 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\nCan you guide me to the object used for drying? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "the towel is at your 9 o'clock."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_69 | There are assorted object with varied colors, shapes, materials, and textures in my 2 o'clock direction. There is a wall at my 6 o'clock. | [
1.384094323,
0.6342098266,
-0.7383653212,
0.6744009582
] | [
{
"from": "human",
"value": "<image>\nWhat is the relationship between sink and mirror?"
},
{
"from": "gpt",
"value": "the sink is inside the bathroom vanity, which supports the mirror."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_70 | There is a varied wall in my 11 o'clock direction. There is a mixed assorted varied object in my 8 o'clock direction. | [
0.132935456,
-0.0440867099,
0.4264729128,
0.9045003342
] | [
{
"from": "human",
"value": "<image>\nHow many towels are hanging in the middle distance behind me?"
},
{
"from": "gpt",
"value": "three"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_71 | There is a varied wall in my 11 o'clock direction. There is a mixed assorted varied object in my 8 o'clock direction. | [
0.132935456,
-0.0440867099,
0.4264729128,
0.9045003342
] | [
{
"from": "human",
"value": "<image>\nWhat is the relationship between the shoes and the closet in front of me?"
},
{
"from": "gpt",
"value": "the shoes are below the closet rod."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_72 | There is a varied wall in my 11 o'clock direction. There is a mixed assorted varied object in my 8 o'clock direction. | [
0.132935456,
-0.0440867099,
0.4264729128,
0.9045003342
] | [
{
"from": "human",
"value": "<image>\nCan you name the objects placed within the area of the closet on my left?"
},
{
"from": "gpt",
"value": "clothing"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_73 | There is a varied wall in my 11 o'clock direction. There is a mixed assorted varied object in my 8 o'clock direction. | [
0.132935456,
-0.0440867099,
0.4264729128,
0.9045003342
] | [
{
"from": "human",
"value": "<image>\nIs there a toilet near me in the middle distance behind me?"
},
{
"from": "gpt",
"value": "yes"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_74 | There is a varied wall in my 11 o'clock direction. There is a mixed assorted varied object in my 8 o'clock direction. | [
0.132935456,
-0.0440867099,
0.4264729128,
0.9045003342
] | [
{
"from": "human",
"value": "<image>\nIs there a door behind me?"
},
{
"from": "gpt",
"value": "no"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_75 | There is a varied wall in my 11 o'clock direction. There is a mixed assorted varied object in my 8 o'clock direction. | [
0.132935456,
-0.0440867099,
0.4264729128,
0.9045003342
] | [
{
"from": "human",
"value": "<image>\nWhat is the material of the shoe rack?"
},
{
"from": "gpt",
"value": "mixed"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_76 | There is a varied wall in my 11 o'clock direction. There is a mixed assorted varied object in my 8 o'clock direction. | [
0.132935456,
-0.0440867099,
0.4264729128,
0.9045003342
] | [
{
"from": "human",
"value": "<image>\nWhere is the shoes located in relation to the bathroom vanity?"
},
{
"from": "gpt",
"value": "the shoes are behind the bathroom vanity."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_78 | To my left, near me, there's a white wooden doorframe. To my right, near me, there's a white mixed-material closet in use. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nHow many towels are hanging in the middle distance on my left?"
},
{
"from": "gpt",
"value": "two"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_79 | To my left, near me, there's a white wooden doorframe. In front of me, near me, there's a partially open white wooden door. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nIs there a shoe rack near me on my right?"
},
{
"from": "gpt",
"value": "yes"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_80 | To my left, near me, there's a white wooden doorframe. In front of me, near me, there's a partially open white wooden door. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nIs there a paint booth on my right?"
},
{
"from": "gpt",
"value": "no"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_81 | To my right, near me, there's a white mixed-material closet in use. In front of me, near me, there's a partially open white wooden door. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nWhich object is below the towel on my left?"
},
{
"from": "gpt",
"value": "resting on the toilet"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_82 | To my left, near me, there's a white wooden doorframe. To my right, near me, there's a white mixed-material closet in use. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nCan you name all the objects that are near me?"
},
{
"from": "gpt",
"value": "a door, a bathroom vanity, a sink, a doorframe, a wall, and a closet"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_83 | To my left, near me, there's a white wooden doorframe. In front of me, near me, there's a partially open white wooden door. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nBased on the objects around me, what type of room am I likely in?"
},
{
"from": "gpt",
"value": "a bathroom or a dressing room"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_84 | To my right, near me, there's a white mixed-material closet in use. To my left, near me, there's a white wooden doorframe. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nCan you describe the closet at my 4 o'clock?"
},
{
"from": "gpt",
"value": "it's a white rectangular prism used for storage and is currently in use. it has a mixed texture and is enclosed."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_85 | To my right, near me, there's a white mixed-material closet in use. To my left, near me, there's a white wooden doorframe. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nCan you tell me in which direction I can find an object used for circulating air? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "at your 6 o'clock"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_86 | To my right, near me, there's a white mixed-material closet in use. In front of me, near me, there's a partially open white wooden door. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nWhere is the footwear shoe located in relation to me? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "at your 4 o'clock"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_87 | To my right, near me, there's a white mixed-material closet in use. In front of me, near me, there's a partially open white wooden door. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nWhat is the spatial relationship between the shoes and the floor at my 5 o'clock?"
},
{
"from": "gpt",
"value": "the shoes are on the top of the floor."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_88 | To my right, near me, there's a white mixed-material closet in use. To my left, near me, there's a white wooden doorframe. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nIs there a towel in the room?"
},
{
"from": "gpt",
"value": "yes"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_89 | In front of me, near me, there's a partially open white wooden door. To my left, near me, there's a white wooden doorframe. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nCan I find a sliding door in the room?"
},
{
"from": "gpt",
"value": "no"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_90 | To my left, near me, there's a white wooden doorframe. To my right, near me, there's a white mixed-material closet in use. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nWhat is the usage of the fan?"
},
{
"from": "gpt",
"value": "circulating air"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_91 | To my right, near me, there's a white mixed-material closet in use. In front of me, near me, there's a partially open white wooden door. | [
0.2555456894,
0.1983517134,
-0.9953716356,
-0.0961005048
] | [
{
"from": "human",
"value": "<image>\nWhat is the relationship between shoes and shower?"
},
{
"from": "gpt",
"value": "the shoes are in front of the shower."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_93 | In front of me, at a middle distance, there's a light beige towel and a white toilet. Far to my right, there are gray and white towel and gray towel. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nWhat is the relationship between the shoes and the closet on my left?"
},
{
"from": "gpt",
"value": "the shoes are inside the closet."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_94 | In front of me, at a middle distance, there's a light beige towel and a white toilet. Far to my right, there are gray and white towel and gray towel. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nCan you name the objects near me?"
},
{
"from": "gpt",
"value": "a variety of objects"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_95 | Far to my right, there are gray and white towel and gray towel. Behind me, near me, there's a varied object. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nWhat is the structure of the towel near me on my right?"
},
{
"from": "gpt",
"value": "textile"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_96 | Far to my right, there are gray and white towel and gray towel. In front of me, at a middle distance, there's a light beige towel and a white toilet. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nFrom my current position, how do I reach the shower door? Please provide a direction(behind, in front of, left, right) and the distance information (far/middle/near)."
},
{
"from": "gpt",
"value": "turn right and walk to the near distance."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_97 | To my left, near me, there's a blue fabric clothing. Behind me, near me, there's a varied object. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nWhat type of room am I likely in based on the objects around me?"
},
{
"from": "gpt",
"value": "a bathroom"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_98 | In front of me, at a middle distance, there's a light beige towel and a white toilet. Behind me, near me, there's a varied object. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nHow many shoes are inside the closet at my 8 o'clock?"
},
{
"from": "gpt",
"value": "three"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_99 | Far to my right, there are gray and white towel and gray towel. Behind me, near me, there's a varied object. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nCan you describe the mirror located at my 11 o'clock?"
},
{
"from": "gpt",
"value": "it's a mirror placed on a bathroom vanity, likely used for personal grooming and reflection."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_100 | Far to my right, there are gray and white towel and gray towel. In front of me, at a middle distance, there's a light beige towel and a white toilet. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nIn which direction can I find an object used for clothing? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "at your 8 o'clock"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_101 | To my left, near me, there's a blue fabric clothing. Far to my right, there are gray and white towel and gray towel. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nCan you navigate me to the object used for circulating air? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "the fan is at your 9 o'clock."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_102 | Behind me, near me, there's a varied object. To my left, near me, there's a blue fabric clothing. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nWhere is the shoe rack located in relation to me? Please provide a clock-wise direction (1-12 o'clock)."
},
{
"from": "gpt",
"value": "at your 8 o'clock"
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_103 | To my left, near me, there's a blue fabric clothing. Far to my right, there are gray and white towel and gray towel. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nWhere is the shower located in relation to the fan?"
},
{
"from": "gpt",
"value": "the shower is to the right of the fan."
}
] |
tbd | msr3d | scannet/scene0413_00 | scannet_train_104 | To my left, near me, there's a blue fabric clothing. Far to my right, there are gray and white towel and gray towel. | [
0.9923880221,
-0.0190403859,
0.2965662987,
-0.9550122672
] | [
{
"from": "human",
"value": "<image>\nCan you describe the toilet?"
},
{
"from": "gpt",
"value": "it's a white toilet with oval and rectangular components, made of ceramic, designed for sanitation, with a smooth texture, and it has a bowl with a tank, and it's clean."
}
] |
End of preview.
Loc3R-VLM: Language-based Localization and 3D Reasoning with Vision-Language Models
Kevin Qu 1,2* , Haozhe Qi 3 , Mihai Dusmanu 1 , Mahdi Rad1, Rui Wang1, Marc Pollefeys1,2
1Microsoft Spatial AI Lab 2ETH Zurich 3EPFL
*work done during an internship at Microsoft
We introduce Loc3R-VLM, a novel framework that equips 2D VLMs with advanced 3D spatial understanding capabilities from video. Inspired by human cognition, it builds an internal cognitive map of the global environment while explicitly modeling an agent's position and orientation. By jointly capturing global layout and egocentric state, the model excels at two core tasks: language-driven localization and viewpoint-aware 3D reasoning.
This repository hosts the released processed JSON annotations used to train and evaluate Loc3R-VLM. It does not include the raw RGB frames, depth maps, camera poses, or meshes, which must be obtained from the original dataset providers.
More details and data-preparation instructions can be found in our GitHub repository.
Citation
@misc{qu2026loc3rvlm,
title={Loc3R-VLM: Language-based Localization and 3D Reasoning with Vision-Language Models},
author={Kevin Qu and Haozhe Qi and Mihai Dusmanu and Mahdi Rad and Rui Wang and Marc Pollefeys},
year={2026},
eprint={2603.18002},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2603.18002}
}
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