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Datasets:
zd11024
/
Video-3D-LLM_data

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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 2 new columns ({'box_input', 'gt_box'}) and 1 missing columns ({'box'}).

This happened while the json dataset builder was generating data using

hf://datasets/zd11024/Video-3D-LLM_data/processed/scan2cap_train_llava_style.json (at revision 54e47ca98fc28b21507c89043759c90c4aca5012)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: int64
              video: string
              conversations: list<item: struct<from: string, value: string>>
                child 0, item: struct<from: string, value: string>
                    child 0, from: string
                    child 1, value: string
              box_input: list<item: double>
                child 0, item: double
              gt_box: list<item: double>
                child 0, item: double
              metadata: struct<ann_id: string, dataset: string, object_id: string, question_type: string>
                child 0, ann_id: string
                child 1, dataset: string
                child 2, object_id: string
                child 3, question_type: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 792
              to
              {'id': Value(dtype='int64', id=None), 'video': Value(dtype='string', id=None), 'conversations': [{'from': Value(dtype='string', id=None), 'value': Value(dtype='string', id=None)}], 'box': Sequence(feature=Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), length=-1, id=None), 'metadata': {'ann_id': Value(dtype='int64', id=None), 'dataset': Value(dtype='string', id=None), 'object_id': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'question_type': Value(dtype='string', id=None)}}
              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 1433, 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 989, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 2 new columns ({'box_input', 'gt_box'}) and 1 missing columns ({'box'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/zd11024/Video-3D-LLM_data/processed/scan2cap_train_llava_style.json (at revision 54e47ca98fc28b21507c89043759c90c4aca5012)
              
              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
int64
video
string
conversations
list
box
sequence
metadata
dict
0
scannet/scene0602_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe sink is located on the vanity to the right of the vacuum cleaners.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.30703267455101, 0.20721659995615402, 0.7899223864078521, 0.382405579090118, 0.31934205815196004, 0.151210129261016 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 23 ], "question_type": "st_wo_d" }
1
scannet/scene0520_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe middle front of the room is occupied by a brown couch.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.601592361927032, 0.27372045814991, 0.435900792479515, 1.949374556541442, 0.805287927389144, 0.7989323437213891 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 3 ], "question_type": "st_w_d" }
2
scannet/scene0667_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nIn the middle of the room stands a brown wooden table.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.935919195413589, 2.762684524059295, 0.5344756040722131, 1.9885308146476741, 2.741448998451233, 1.134531419724226 ], [ -1.2355676889419551, 2.6334968209266663, 0.385429091751575, 1.590412855148315, 2.807541728019714, 0.979771837592124 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 7, 4 ], "question_type": "mt" }
3
scannet/scene0411_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nTo the right of the toilet is a cylindrical roll of toilet paper.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [], "question_type": "zt_wo_d" }
4
scannet/scene0008_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA lamp that is turned on is located in between two windows.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.10468892753124201, 3.499277114868164, 1.354974627494812, 0.46203002333641, 0.47912454605102506, 0.35024905204772905 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 25 ], "question_type": "st_w_d" }
5
scannet/scene0113_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe chair in the middle of the three chairs is grey with polka dots on the top.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.17045900225639302, 0.9561971426010131, 0.37093386985361504, 0.697525560855865, 0.7801442146301271, 0.8284345082938671 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 2 ], "question_type": "st_w_d" }
6
scannet/scene0420_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nIn the left corner near the window, there is a small white wooden table that has four chairs around it.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.289052724838256, 2.505658030509948, 0.33344467601273203, 0.8518097400665281, 1.55758786201477, 0.6612436349969351 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 6 ], "question_type": "st_w_d" }
7
scannet/scene0315_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA black round lamp is placed on top of the kitchen table.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.13565090298652602, 1.400011599063873, 1.345829606056213, 0.42578446865081704, 0.25772964954376204, 0.359539985656738 ], [ -0.11829665303230201, 2.328940272331238, 1.4660335183143611, 0.347312033176422, 0.41720509529113703, 0.479581952095031 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 5, 4 ], "question_type": "mt" }
8
scannet/scene0374_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe reddish orange chair, facing away from the viewer, has five legs.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 2.81374180316925, -1.1026361584663391, 0.39214847702533, 0.6520249843597411, 0.685452342033386, 0.8292457219213241 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 3 ], "question_type": "st_w_d" }
9
scannet/scene0668_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nIn the far corner next to the circular ottoman is a dark bucket chair.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.521659255027771, 2.055853486061096, 0.363327108323574, 0.9923937320709221, 0.9545958042144771, 0.7895203381776811 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 11 ], "question_type": "st_w_d" }
10
scannet/scene0612_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe white ovular-shaped sink is located to the left of the soap dispenser.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.19985577464103702, -0.32002156972885104, 0.771093636751174, 0.42299789190292303, 0.43266618251800504, 0.18217211961746202 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 1 ], "question_type": "st_wo_d" }
11
scannet/scene0026_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe chair, which is positioned at the corner of the table, is slightly pulled out compared to other chairs.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [], "question_type": "zt_wo_d" }
12
scannet/scene0560_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe painting, whose predominant colors are blue and brown, is placed above a double bed and a nightstand with a lamp on it to the right of the bed. half of the painting is above the bed and half above the nightstand.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.5422884784638881, 1.5985844731330872, 1.6464176177978511, 1.226932652294635, 0.08761537075042701, 0.9818224906921381 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 11 ], "question_type": "st_wo_d" }
13
scannet/scene0087_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThis wooden chair is facing a table with its back facing the wall.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.680582225322723, -0.194033503532409, 0.430074339034035, 0.7501369714736931, 0.5720083117485041, 0.851338853593915 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 11 ], "question_type": "st_w_d" }
14
scannet/scene0448_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThis small round table is being used to hold laundry for the bathroom.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.48674991726875305, -0.0074535459280010005, 0.270594296976923, 0.26277774572372403, 0.36725604534149103, 0.5895718373358251 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 9 ], "question_type": "st_w_d" }
15
scannet/scene0675_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nOn the right side, there is a rectangular trash can with a blue recycling container to its right.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.48632426559925, -1.4362090826034541, 0.162692450219765, 0.209162324666976, 0.317528486251831, 0.33524616016075004 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 17 ], "question_type": "st_w_d" }
16
scannet/scene0505_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nAbove the desk is a black monitor.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 2.261207699775696, -0.7064485847949981, 1.157525897026062, 0.42929100990295405, 0.39009004831314004, 0.42117094993591303 ], [ 0.10320978891104401, -1.190446674823761, 0.9149206876754761, 0.15447525121271602, 0.553039669990539, 0.36294674873352 ], [ -2.680582046508789, -1.444173276424408, 1.111273825168609, 0.135957717895507, 0.549096226692199, 0.359513640403747 ], [ -2.543936848640442, 1.135860174894332, 1.114335238933563, 0.127366304397583, 0.5193737149238581, 0.350219130516052 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 34, 22, 20, 19 ], "question_type": "mt" }
17
scannet/scene0027_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe large l-shaped brown couch is against the wall and fits into the corner, laying against the right wall and tucked into the front right corner.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.009292520582676, 1.389531642198562, 0.331454519182443, 1.7186855524778362, 3.891773641109466, 0.8112759515643121 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 2 ], "question_type": "st_wo_d" }
18
scannet/scene0085_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nAt the foot of the bed, there is a white radiator which is located below the curtain.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.07840946316719001, -2.563454508781433, 0.240631737193325, 0.7483881115913391, 0.30871558189392, 0.47994761093286803 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 20 ], "question_type": "st_w_d" }
19
scannet/scene0234_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA couch cushion is located right in front of the tv.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.551700823009014, -0.14248681068420402, 0.292327605187892, 0.614489331841468, 1.229844570159912, 0.334083274006843 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 10 ], "question_type": "st_wo_d" }
20
scannet/scene0285_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nNestled fourth in line from the head of the table, this chair faces the white board and sits on the same side of the room as the door.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.697845458984375, -0.181855410337448, 0.5585693717002861, 0.5959093570709221, 0.519521713256835, 0.47593021392822205 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 4 ], "question_type": "st_w_d" }
21
scannet/scene0005_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA green patterned chair sits beside a brown table.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.483559712767601, -2.107077240943908, 0.392980535514652, 0.515642911195755, 0.7733237743377681, 0.730606159195303 ], [ 0.039120666682720004, -1.273295193910598, 0.365553825162351, 0.520417109131813, 0.7032751441001891, 0.786706866696476 ], [ -0.11842936277389501, 0.9145433902740471, 0.40571700502187, 0.539929866790771, 0.7098226547241211, 0.77984776161611 ], [ 0.09708246588706901, 0.337164711905643, 0.366681031417101, 0.735645532608032, 0.6688579083420331, 0.7602019468322391 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 16, 5, 4, 3 ], "question_type": "mt" }
22
scannet/scene0247_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nConcealed beneath a black counter top, lies a brown cabinet.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.8905216306447981, 3.983081340789795, 0.800862044095993, 2.630525380373001, 0.663226127624511, 0.8848026394844051 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 52 ], "question_type": "st_w_d" }
23
scannet/scene0324_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA blue and green picture, encased in a white frame, hangs above the left table.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.003110706806182, 1.174279391765594, 1.77498197555542, 0.121405720710754, 0.765402197837829, 0.715714454650878 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 9 ], "question_type": "st_w_d" }
24
scannet/scene0286_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA tan pillow, resting on a chair beside a window adorned with clothes, awaits a weary head.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.623721688985824, 0.6263068914413451, 0.581616774201393, 0.41095393896102905, 0.280302047729492, 0.33860704302787703 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 39 ], "question_type": "st_wo_d" }
25
scannet/scene0341_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nPositioned on the right edge of the desk, the keyboard resides to the left of the chair and to the right of the monitors.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.4441166520118711, 0.986080646514892, 0.713637024164199, 0.48995316028594904, 0.553233623504638, 0.09744828939437801 ], [ 1.218383729457855, -1.0745250582695, 0.693459093570709, 0.33224952220916704, 0.48810684680938704, 0.11538732051849301 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 31, 49 ], "question_type": "mt" }
26
scannet/scene0045_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA round table sits here.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.9302366673946381, 1.385493099689483, 0.28555073402822, 0.5890007615089411, 0.588927388191223, 0.5209953375160691 ], [ -0.9370854794979091, -1.857585489749908, 0.44157301634550006, 0.583137094974517, 0.5801728963851921, 0.542420998215675 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 6, 7 ], "question_type": "mt" }
27
scannet/scene0626_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nConcealed beneath the desk, lies a silver computer tower.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.443550050258636, 1.616441786289215, 0.283157290774397, 0.21971142292022702, 0.30607378482818604, 0.558761950815096 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 15 ], "question_type": "st_w_d" }
28
scannet/scene0524_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nTo the left of the soap dispenser, a white ovular sink awaits use.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [], "question_type": "zt_wo_d" }
29
scannet/scene0021_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe square mauve pillow on the left side of the couch is positioned at the end of the couch.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.753166198730468, 1.202670395374298, 0.695631206035614, 0.39440846443176203, 0.56904923915863, 0.466360807418823 ], [ -1.8513290882110591, -0.22427862882614102, 0.7277709543704981, 0.389674186706542, 0.5121077299118041, 0.43055218458175604 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 6, 7 ], "question_type": "mt" }
30
scannet/scene0178_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nAs you enter the room, the second cabinet on the left is the object.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [], "question_type": "zt_w_d" }
31
scannet/scene0545_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe white door on the left wall from the bed is the one.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.21080595254898, -1.356948733329773, 0.45524736816878403, 0.30097162723541204, 1.051273822784423, 0.9120279038907021 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 9 ], "question_type": "st_wo_d" }
32
scannet/scene0489_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nBehind two office chairs, there is a trash can below a window.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.525278985500335, -0.022514954209327, 0.212643477134406, 0.27344048023223805, 0.43198072910308805, 0.387091750279068 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 10 ], "question_type": "st_w_d" }
33
scannet/scene0260_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nTo the left of the toilet, you will find unrolled toilet paper above the trash can.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.7630642354488371, 0.126574265770614, 0.35039635002613, 0.14961320161819402, 0.19592308439314302, 0.32067891955375605 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 13 ], "question_type": "st_w_d" }
34
scannet/scene0472_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe wall-mounted brown kitchen cabinets are above the oven.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -2.020493507385254, 3.332019388675689, 1.5607519745826721, 0.404182910919189, 3.119096636772155, 0.372913479804992 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 27 ], "question_type": "st_w_d" }
35
scannet/scene0581_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nAbove a cabinet to the left of the door, you will find a white sink in the bathroom.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.23065981268882702, 1.212811231613159, 0.885826021432876, 0.6121886372566221, 0.463703155517578, 0.19619065523147503 ], [ 1.40179169178009, 1.1608678996562949, 0.885992616415023, 0.33086943626403803, 0.357288420200347, 0.18658298254013 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 1, 17 ], "question_type": "mt" }
36
scannet/scene0005_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA cart filled with books can be found against a wall near a door.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.6701878905296321, -0.063402622938156, 0.5464711221866311, 0.42947542667388905, 0.524875998497009, 1.110046141780912 ] ]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [ 1 ], "question_type": "st_w_d" }
37
scannet/scene0047_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nIn the room, you can spot a wall-mounted microwave, a fridge, and a brown door.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.7345993518829341, -1.005398660898208, 1.5080487728118892, 0.231223821640014, 0.593721807003021, 0.329630851745605 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 30 ], "question_type": "st_w_d" }
38
scannet/scene0581_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe white towel is the one.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.121501624584198, -0.44593183696269906, 0.826274096965789, 0.133228659629821, 0.293857842683792, 0.442003607749938 ], [ -1.145701229572296, -0.5620713680982591, 1.240313053131103, 0.118259310722351, 0.47046867012977606, 0.34283447265625 ], [ -1.166549801826477, -0.002878591418266, 1.011121198534965, 0.20876526832580503, 0.418761610984802, 1.224739223718643 ], [ 1.6574509143829341, 1.131403923034668, 1.146897494792938, 0.08650708198547301, 0.324318408966064, 0.22919189929962103 ] ]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [ 24, 23, 21, 11 ], "question_type": "mt" }
39
scannet/scene0625_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe right side of the small trash can features a white toilet.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.48497635126113803, 0.344677886925637, 0.33475367166101905, 0.54945945739746, 0.730460600927472, 0.739830773323774 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 7 ], "question_type": "st_wo_d" }
40
scannet/scene0467_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe object is a picture frame.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.75764513015747, 0.44345152378082203, 1.04225292801857, 0.187241077423095, 0.463664412498474, 0.427779614925384 ], [ 1.750335752964019, 0.869384348392486, 1.169303834438324, 0.154237866401672, 0.5533620119094841, 0.57344901561737 ], [ 1.783226191997528, 0.9981962740421291, 1.548585891723632, 0.069664359092712, 0.41493815183639504, 0.5785636901855461 ], [ 1.740749478340149, 1.405530035495758, 1.413942813873291, 0.123739004135131, 0.376449465751647, 0.331857204437255 ], [ 1.758618593215942, 1.400714993476867, 1.714065134525299, 0.059221506118774005, 0.43054628372192305, 0.34936821460723805 ], [ 1.778739929199218, 0.958819866180419, 1.92634242773056, 0.049618959426879, 0.340008735656738, 0.311820149421691 ], [ -1.5373936891555782, -0.47825640439987105, 1.395963191986084, 0.06188464164733801, 0.505555629730224, 0.5043232440948481 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 28, 13, 27, 24, 23, 25, 14 ], "question_type": "mt" }
41
scannet/scene0418_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA brown nightstand in the shape of a rectangle is present.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 2.312788486480713, 2.2195041179656982, 0.56137128919363, 0.5414934158325191, 0.674890518188476, 0.7956659346818921 ], [ 2.35832667350769, -0.396288275718688, 0.5163362845778461, 0.5126180648803711, 0.708733439445495, 0.7273478060960771 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 23, 24 ], "question_type": "mt" }
42
scannet/scene0691_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe red chair is positioned facing upwards and to the left.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.254328129813075, -0.38792061805725103, 0.585099026560783, 0.6320275105535981, 0.586488366127014, 0.48294499516487105 ], [ 0.265820525586605, -0.8676857054233551, 0.613087207078933, 0.6025783568620681, 0.59822791814804, 0.476401269435882 ], [ 0.6563572138547891, 0.42209339514374705, 0.603504180908203, 0.47425547242164606, 0.6135302707552911, 0.48918771743774403 ], [ 0.684625208377838, -1.720081567764282, 0.6649776995182031, 0.557026267051696, 0.7097597122192381, 0.5104681849479671 ], [ 1.334990203380584, -0.16799399256706202, 0.651935502886772, 0.563199162483215, 0.5293980836868281, 0.513073354959487 ], [ 1.292888581752777, -1.5105077028274532, 0.76736506819725, 0.46227896213531405, 0.470328092575073, 0.309429943561553 ], [ 1.405478715896606, -0.6946395635604851, 0.7624099850654601, 0.222429275512695, 0.528402805328369, 0.298916697502136 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 15, 2, 3, 4, 5, 6, 7 ], "question_type": "mt" }
43
scannet/scene0035_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA long bed is situated against a wall.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.152166008949279, 0.9058887511491771, 0.44408630952239003, 2.356041431427002, 1.070651859045028, 0.9338665083050721 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 1 ], "question_type": "st_wo_d" }
44
scannet/scene0372_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nWith its back against the wall, a chair can be found to the left of another chair.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.276430815458297, 2.546899795532226, 0.469877919182181, 0.689066231250762, 0.556404113769531, 0.844177324324846 ], [ 1.046179950237274, 2.56504738330841, 0.44352082721889, 0.658188939094543, 0.535214185714721, 0.8350090123713011 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 12, 5 ], "question_type": "mt" }
45
scannet/scene0175_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nTo the right of a soap dispenser, you will find a pair of blue shorts.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.18720531463623, -0.030730456113815002, 1.129707336425781, 0.12370753288269001, 0.575394511222839, 0.43135905265808105 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 8 ], "question_type": "st_w_d" }
46
scannet/scene0585_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nAt the end of the right wall, a blue recycling bin is located.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.5274357348680491, -2.597909808158874, 0.135249959304928, 0.41350659728050204, 0.271068334579467, 0.36421587690711005 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 15 ], "question_type": "st_w_d" }
47
scannet/scene0116_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA western toilet basin attached to the wall is present.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.40271326899528503, 1.042637854814529, 0.39757669181562905, 0.48813015222549405, 0.743462979793548, 0.784600015264004 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 6 ], "question_type": "st_w_d" }
48
scannet/scene0060_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe top pillow resting on the pillow beneath it on the right side of the couch is the one.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [], "question_type": "zt_wo_d" }
49
scannet/scene0379_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nAt the far end of the room, there is a white radiator.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.19253608584404, -2.275154829025268, 0.295037183270324, 0.878752768039703, 0.219958782196044, 0.5872079668333751 ], [ -1.00441575050354, -2.2647277116775513, 0.40186163783073403, 0.673460960388183, 0.359838247299194, 0.5234878659248351 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 21, 22 ], "question_type": "mt" }
50
scannet/scene0507_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nOn the couch in front of the stand, you will find a black and white pillow.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.21357315778732303, 0.460991464555263, 0.8613348603248591, 0.66241180896759, 0.535992100834846, 0.28331720829010004 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 21 ], "question_type": "st_w_d" }
51
scannet/scene0079_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA black monitor can be found on a tan table.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -2.135832190513611, 1.693648338317871, 0.93557795882225, 0.127951860427856, 0.545515298843383, 0.42652350664138705 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 17 ], "question_type": "st_w_d" }
52
scannet/scene0466_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe first chair in the right row, located in the third section from the front, is the object.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.017544269561767002, -0.651469230651855, 0.7439194917678831, 0.268382847309112, 0.544588923454284, 0.41773235797882 ], [ 0.17609836533665602, 0.534142330288887, 0.764987558126449, 0.19543500989675502, 0.526886075735092, 0.41522949934005704 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 23, 28 ], "question_type": "mt" }
53
scannet/scene0442_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA biscuit-colored armchair with cushion is located near the round table.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.161709189414978, -0.09096357226371701, 0.56119867414236, 0.6631138324737541, 0.7291934490203851, 0.8233634978532791 ], [ 1.876709759235382, 0.36809334158897405, 0.7229245007038111, 0.746162772178649, 0.6082244515419001, 0.673740804195404 ], [ 1.19588965177536, 1.405562341213226, 0.650873124599456, 0.6695040464401241, 0.6713813543319701, 0.709330677986145 ], [ -0.022188276052474, -1.279719829559326, 0.453191060572862, 0.8754196166992181, 0.6980130672454831, 0.8725864514708511 ], [ -0.544200628995895, -1.806643962860107, 0.5031493902206421, 0.6127192378044121, 0.6615352630615231, 0.7675453424453731 ], [ -0.934324234724044, -1.194288343191146, 0.48536105453968004, 0.6937208771705621, 0.6735621094703671, 0.7172597348690031 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 4, 6, 7, 2, 8, 3 ], "question_type": "mt" }
54
scannet/scene0411_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nIn the front row, second from the left and wall, a chair with a black table in front is located.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.778862372040748, 1.815129041671753, 0.5137541741132731, 0.626293152570724, 0.501522541046142, 0.44388976693153304 ] ]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [ 36 ], "question_type": "st_w_d" }
55
scannet/scene0189_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nIn the kitchen, there is a sink with an opening underneath it. to the left of the sink, you will find the stove.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [], "question_type": "zt_wo_d" }
56
scannet/scene0035_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nNext to a radiator, a brown nightstand is located.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.9826202690601341, 0.017813265323638, 0.275744963437318, 0.5959674715995781, 0.577561140060424, 0.588128350675106 ] ]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [ 7 ], "question_type": "st_wo_d" }
57
scannet/scene0459_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nLocated at the right corner of the room at the back, a stack of brown chairs is spaced among other stack of chairs along the wall.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.472180426120758, 1.509647727012634, 1.045172572135925, 0.368225932121276, 0.7503116130828851, 0.317540645599365 ], [ 0.816896319389343, 1.5180848240852352, 0.6440780833363531, 0.701731204986572, 0.962931275367736, 1.159514054656028 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 16, 7 ], "question_type": "mt" }
58
scannet/scene0692_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nTo the right of the bookshelf, a chair is located.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.889200001955032, 0.132386416196823, 0.39120192825794203, 0.709718883037567, 0.647993326187133, 0.9034906327724451 ], [ 1.109532117843628, 0.14628139138221702, 0.42612747848033905, 0.7036309242248531, 0.6980129480361931, 0.915452867746353 ], [ -0.742622375488281, -0.7916522026062011, 0.37260251492261803, 0.6718170642852781, 0.517230033874511, 0.8504748493432991 ], [ -0.19081622362136802, 0.6890881657600401, 0.40990551002323605, 0.8276987075805661, 0.780336737632751, 0.858036007732152 ], [ 1.266379445791244, -1.824102282524108, 0.6085058131138791, 0.5367496609687801, 0.583383798599243, 1.214771573082544 ], [ 0.6157248914241791, -1.8756229281425472, 0.573168372735381, 0.555128633975982, 0.5320416688919061, 1.206635046750307 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 3, 4, 5, 6, 7, 8 ], "question_type": "mt" }
59
scannet/scene0368_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe office chair on the right is colored black.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.84006929397583, 0.212706945836544, 0.6641383767127991, 0.6097722053527831, 0.5864005833864211, 0.5794830322265621 ], [ -0.11137953400611801, 0.6357341408729551, 0.566689312458038, 0.596157968044281, 0.550985813140869, 0.59260606765747 ], [ 1.399523079395294, 0.9874908328056331, 0.447298111394047, 0.584579586982727, 0.585021376609802, 0.9334368668496601 ], [ 0.47247061133384705, 1.29607206583023, 0.612517237663269, 0.21848589181900002, 0.519824147224426, 0.5829144716262811 ], [ 0.5805167108774181, 2.139391601085663, 0.614776492118835, 0.404308766126632, 0.623933434486389, 0.7305940389633171 ], [ 1.398535668849945, 1.5126996636390682, 0.6515924930572511, 0.556831717491149, 0.6567555665969841, 0.6160341501235961 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 0, 1, 3, 4, 5, 6 ], "question_type": "mt" }
60
scannet/scene0589_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe bed holds an orange, rectangular pillow, the first one on the right.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.8777718544006341, 1.6500042080879211, 0.5340707153081891, 0.548492431640625, 0.9135183095932, 0.159081608057022 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 43 ], "question_type": "st_w_d" }
61
scannet/scene0295_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe nightstand, made of wood, sits to the right of the bed and the radiator is to its right.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.36159086227417, -0.301742076873779, 0.243141876533627, 0.518517971038818, 0.5657387971878051, 0.595314409583807 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 4 ], "question_type": "st_wo_d" }
62
scannet/scene0615_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nAn open laptop sits on the desk straight ahead, just before the wall, and above it hangs a framed painting on the wall.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.13075965642929, -0.907937735319137, 0.7990978956222531, 0.566794276237487, 0.7220295071601861, 0.223938465118408 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 25 ], "question_type": "st_w_d" }
63
scannet/scene0391_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nNext to the table, you can find a wooden chair with a beige color.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.020804554224014, 2.719279289245605, 0.631073705852031, 0.656119287014007, 0.7029376029968261, 0.8169944435358041 ], [ -1.666498243808746, 1.775056838989257, 0.5421714633703231, 0.5550938844680781, 0.6114044189453121, 0.8127465546131131 ], [ -1.804191768169403, 2.748740673065185, 0.566145122051239, 0.36675226688385004, 0.7063913345336911, 0.8235455751419061 ], [ 1.038421005010604, 1.942560076713562, 0.692943304777145, 0.597399771213531, 0.7276680469512941, 0.8015676140785211 ], [ 0.732706665992736, 2.732280254364013, 0.722785308957099, 0.165116071701049, 0.8183135986328121, 0.775208801031112 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 3, 2, 5, 1, 4 ], "question_type": "mt" }
64
scannet/scene0085_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA small, wall-mounted bedside lamp sits above the nightstand, which is positioned between two beds.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.767424285411834, -0.279175579547882, 1.477825939655304, 0.298647284507751, 0.237407207489013, 0.25190770626068104 ], [ -1.763362467288971, -0.6141467988491051, 1.470440089702606, 0.324986815452575, 0.24147540330886802, 0.274527668952941 ] ]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [ 24, 5 ], "question_type": "mt" }
65
scannet/scene0667_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA small, black trash can can be found in the room.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -2.356825351715088, -2.198775053024292, 0.12255208007991301, 0.270174980163574, 0.36639928817749, 0.355147395282983 ], [ 3.270687460899353, -2.595973491668701, 0.44396950304508204, 0.26929736137390103, 0.391870498657226, 0.39787361025810203 ] ]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [ 38, 35 ], "question_type": "mt" }
66
scannet/scene0220_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA set of open shelves, filled with jars and containers, is mounted above the counter tops and attached to the ceiling.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.492494165897369, -1.059634327888488, 1.8838117122650142, 0.478559374809265, 0.897279739379882, 0.847655773162841 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 6 ], "question_type": "st_w_d" }
67
scannet/scene0099_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA brown, wooden rectangular table sits in the middle of the room, with two chairs, one on either side.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.30596661567687905, -0.9189008474349971, 0.45364011824131, 1.024453282356262, 2.319976091384887, 1.086549490690231 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 5 ], "question_type": "st_w_d" }
68
scannet/scene0272_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA vintage-looking chair, complete with a white cushion on its seat, is positioned between a plant and a bookcase, with a price tag hanging off the back rest.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.139034301042556, 0.463552750647068, 0.47558621689677205, 0.545179307460784, 0.507013723254203, 0.7901502028107641 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 4 ], "question_type": "st_w_d" }
69
scannet/scene0465_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe kitchen countertop spans three walls, flowing seamlessly above the cabinets along the left wall, extending under the window along the back wall, and culminating in the far right corner where it meets the stove.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.198200359940528, 0.7110018730163571, 0.9088923633098601, 3.292813509702682, 2.481284856796264, 0.417154133319854 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 29 ], "question_type": "st_wo_d" }
70
scannet/scene0184_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA pristine white pillow rests atop a chair on the right, basking in the natural light streaming through the window.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.076574116945266, 0.546029962599277, 0.525403261184692, 0.612977683544158, 0.5958241671323771, 0.520532727241516 ], [ -1.115303039550781, 1.105384737253189, 0.5258120000362391, 0.617539167404174, 0.7498723864555351, 0.416509330272674 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 26, 28 ], "question_type": "mt" }
71
scannet/scene0291_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe second chair from the north on the left side of the table boasts a curved brown back and a distinguished presence.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.33960259519517405, -1.069954603910446, 0.350821850821375, 0.599153745919466, 0.68955785036087, 0.811959866434335 ], [ -0.52187168598175, 1.832792103290557, 0.48220011219382203, 0.5014352798461911, 0.5940865278244011, 0.833044238388538 ], [ -0.766703486442565, 1.047966659069061, 0.45129549130797303, 0.5533211231231691, 0.579231858253479, 0.805983074009418 ], [ -0.150754749774932, -1.8545543551445, 0.365382866933941, 0.698710083961486, 0.58118736743927, 0.826264824718236 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 0, 1, 13, 28 ], "question_type": "mt" }
72
scannet/scene0374_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe back left corner of the room is home to a sink, with a paper towel dispenser conveniently placed to its left.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [], "question_type": "zt_wo_d" }
73
scannet/scene0051_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe white entry door stands ajar, inviting one to step through and into the bathroom beyond.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.7902559638023371, 2.335498452186584, 0.679309879429638, 0.195151329040527, 0.8145668506622311, 1.400463273748755 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 1 ], "question_type": "st_w_d" }
74
scannet/scene0547_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe desk, nestled to the right of the dresser, stands behind a chair facing right and adorned with a monitor on top.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.353420794010162, 1.818795680999755, 0.352410580962896, 0.6826897859573361, 1.177028656005859, 0.95101673156023 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 0 ], "question_type": "st_w_d" }
75
scannet/scene0232_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe pastel white, ovular toilet stands sandwiched between a trash can and clothes dryer, fulfilling its role as a functional yet stylish addition to the room.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.149959236383438, 0.100860796868801, 0.27679693698883, 0.49835383892059304, 0.6960088759660721, 0.7630596160888671 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 8 ], "question_type": "st_wo_d" }
76
scannet/scene0579_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA sleek rectangular soap dispenser adorns the wall between the two sinks farthest on the right, the perfect blend of form and function.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.351231932640075, -0.531112641096115, 1.148305833339691, 0.16527009010314903, 0.241232097148895, 0.29725110530853205 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 11 ], "question_type": "st_w_d" }
77
scannet/scene0031_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA chair with a striking brown and blue pattern sits next to a gray ottoman and a towering tree, creating a harmonious and inviting seating area.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.187741458415985, -1.933997273445129, 0.340541875921189, 0.7922040224075311, 0.910680055618286, 0.7416240442544221 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 10 ], "question_type": "st_w_d" }
78
scannet/scene0673_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA wavy, yellow curtain gracefully drapes north of a chair next to the couch, adding a touch of color and movement to the space.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.562168031930923, 3.7903683185577393, 1.088857777416706, 2.353777110576629, 0.24813032150268502, 1.757047161459922 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 34 ], "question_type": "st_wo_d" }
79
scannet/scene0337_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe cabinet, crafted from wood, boasts three doors that open to reveal ample storage space.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.312331587076187, 0.120317563414573, 0.537295369664207, 0.33696985244750904, 1.240405827760696, 1.061454478185623 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 2 ], "question_type": "st_w_d" }
80
scannet/scene0174_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA rectangular picture, with a black frame, hangs between the window and door, adding a touch of elegance to the space.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.101996123790741, 0.21113755926489802, 1.804566383361816, 0.047439455986022006, 0.5278225019574161, 0.39935302734375 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 18 ], "question_type": "st_w_d" }
81
scannet/scene0205_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe coffee table, in the center of the room, is surrounded by chairs, and its caramel color adds a warm touch to the room.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [], "question_type": "zt_w_d" }
82
scannet/scene0370_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA square brown chair sits at the long side of a table, near a pillar, providing a comfortable seating option.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.17032361030578602, -0.045180857181549, 0.414765886962413, 0.5196176767349241, 0.506702303886413, 0.7832397371530531 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 14 ], "question_type": "st_w_d" }
83
scannet/scene0466_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe white chair sits in the middle row, spaced as the third chair on the right side, among other chairs of the same row.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.607933655381202, 1.522182762622833, 0.7280010282993311, 0.5734831988811491, 0.696391701698303, 0.458071053028106 ], [ -0.090732812881469, -1.699485003948211, 0.6545915007591241, 0.72899329662323, 0.8855630159378051, 0.590972185134887 ] ]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [ 11, 17 ], "question_type": "mt" }
84
scannet/scene0564_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nAn oval white toilet stands next to a shower, providing a functional and clean addition to the room.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.100332856178283, 0.487992778420448, 0.41666293283924405, 0.73526930809021, 0.39023861289024303, 0.85222899634391 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 3 ], "question_type": "st_wo_d" }
85
scannet/scene0228_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe black, hexagonal trash can sits in the middle of a row of three, making it easily accessible and fitting in seamlessly with the room's aesthetic.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.554268062114715, -1.527482748031616, 0.5304002016782761, 0.6307020187377931, 0.604321956634521, 0.756519943475723 ], [ -0.637603223323822, 0.8013032674789421, 0.46325752511620505, 0.592600464820861, 0.5800182819366451, 0.768575362861156 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 3, 10 ], "question_type": "mt" }
86
scannet/scene0420_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA tan chair sits comfortably between two other chairs, providing a stylish seating option for guests.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -2.46494174003601, 0.570411399006843, 0.387326900381594, 0.6008915901184081, 0.561219304800033, 0.795685402117669 ] ]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [ 42 ], "question_type": "st_w_d" }
87
scannet/scene0464_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe object, a monitor, sits on the desk, displaying information and allowing for efficient work.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.157452642917633, 2.3084710836410522, 0.9699253737926481, 0.426016926765441, 0.5219790935516351, 0.454800426959991 ], [ 0.808424800634384, 2.540912985801696, 1.018343389034271, 0.49231988191604603, 0.20197033882141102, 0.5646420717239381 ], [ -1.110148936510086, 0.6919865608215331, 0.966475278139114, 0.32370561361312805, 0.264512658119201, 0.5778211951255791 ], [ -1.223400115966796, 0.17468159645795803, 0.9936678707599641, 0.22811675071716303, 0.8371775299310681, 0.5635995268821711 ], [ -1.116819351911544, -0.288770675659179, 0.9892548620700831, 0.257048189640045, 0.307410478591918, 0.542538583278656 ], [ -1.246354281902313, -0.664530277252197, 1.05440479516983, 0.101038336753845, 0.5512784719467161, 0.350905776023864 ], [ -1.098105609416961, -1.8373805284500122, 0.9531249105930321, 0.306662917137146, 0.581639051437377, 0.425303399562835 ], [ -1.09683084487915, -2.15312373638153, 0.9941531121730801, 0.39141631126403803, 0.430330514907836, 0.36624175310134804 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 9, 35, 23, 8, 22, 11, 10, 12 ], "question_type": "mt" }
88
scannet/scene0448_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nWhite toilet paper, placed conveniently to the right of the toilet, awaits use for those in need.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.37178911268711, -0.33860123157501204, 0.5572479665279381, 0.20239493250846802, 0.11180830001831, 0.19187110662460302 ] ]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [ 33 ], "question_type": "st_w_d" }
89
scannet/scene0650_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nClose to the sofa, a round table provides a surface for holding drinks or displaying decor.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.7895099520683281, 2.001128673553467, 0.474149003624916, 0.34669637680053705, 0.338019371032714, 0.40011081099510104 ], [ -0.9224489331245421, 0.660172045230865, 0.513388574123382, 0.35322320461273105, 0.337640881538391, 0.32772958278656 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 12, 14 ], "question_type": "mt" }
90
scannet/scene0107_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nOn the luggage rack, to the left of the desk and television, lies a black suitcase, ready for packing and travel.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -1.064573526382446, -1.771651804447174, 0.617341056466102, 0.362734079360961, 0.5377677679061891, 0.29569193720817505 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 16 ], "question_type": "st_w_d" }
91
scannet/scene0385_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA white cushion, adorned with teal and green colors, sits on the left side of the couch, facing the viewer and adding a pop of color to the room.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.65728622674942, 1.6521797180175781, 0.7409502863883971, 0.580261468887329, 0.7122979164123531, 0.35565364360809304 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 16 ], "question_type": "st_w_d" }
92
scannet/scene0204_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA black plastic chair, placed next to the table, offers a practical seating option for guests.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.483871102333068, 0.9961066544055931, 0.45487102412153, 0.634160637855529, 0.625146567821502, 0.914715954801067 ], [ 0.39310354366898503, -0.64821183681488, 0.47469170310068803, 0.6737247630953781, 0.5596964359283441, 0.9446091370191421 ], [ -0.946037262678146, -1.036517441272735, 0.558271870017051, 0.5405474305152891, 0.569494128227233, 0.712350875139236 ], [ -1.069477975368499, 0.42544739693403205, 0.6335287839174271, 0.59089457988739, 0.5494111925363541, 0.5991457402706141 ], [ -0.308695971965789, -1.521327972412109, 0.750668346881866, 0.5030001401901241, 0.18419528007507302, 0.361982226371765 ], [ -0.675442397594451, -0.7446492314338681, 0.53015398979187, 1.059260487556457, 1.561524033546447, 0.382752299308776 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 15, 16, 21, 22, 25, 27 ], "question_type": "mt" }
93
scannet/scene0049_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nOn the right side of the television, a bookshelf stands between the television and the red chair, providing a convenient storage space for books and other items.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.314271807670593, 0.11426615715026801, 0.970921924570575, 0.44354534149169905, 1.048973321914672, 1.928047317545861 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 6 ], "question_type": "st_w_d" }
94
scannet/scene0185_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe chair sits under the window.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 3.745227694511413, -0.6853564977645871, 0.515868887305259, 0.45928931236267, 0.9780409336090081, 0.38558176159858704 ], [ 3.704575657844543, -1.37603485584259, 0.5126072168350221, 0.513077974319458, 1.067920684814453, 0.47245454788208 ], [ 3.697183132171631, -2.062535643577575, 0.45202489197254103, 0.512450218200683, 0.9559795856475831, 0.513848394155502 ], [ 3.641718029975891, -2.779032468795776, 0.45712514221668205, 0.5225837230682371, 0.9115958213806151, 0.516424506902694 ], [ 3.617481350898742, -3.422678828239441, 0.45964169502258306, 0.5163223743438721, 0.75421929359436, 0.506333351135253 ], [ 3.547167062759399, -4.156664729118347, 0.515508919954299, 0.547982215881347, 0.8682873249053951, 0.37861365079879705 ], [ 3.543752789497375, -4.758849859237671, 0.531978264451026, 0.49822926521301203, 0.9173388481140131, 0.34146961569786005 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 27, 28, 29, 30, 31, 32, 33 ], "question_type": "mt" }
95
scannet/scene0174_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nTo the left of the leftmost door, a wavy blue curtain gracefully adorns the space.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ -0.7861698865890501, -1.469325006008148, 1.112002938985824, 0.8603825569152831, 0.175809502601623, 1.647392094135284 ] ]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [ 9 ], "question_type": "st_wo_d" }
96
scannet/scene0186_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nNext to a sleek black chair, a white rectangular desk with four legs sits on the right side of the room.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.825350493192672, 0.8449691832065581, 0.44158427603542805, 2.360521852970123, 1.159274280071258, 0.949291970580816 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 1 ], "question_type": "st_w_d" }
97
scannet/scene0472_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nPositioned closer to the wall, the second treadmill awaits your workout.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[]
{ "ann_id": 1, "dataset": "multi3drefer", "object_id": [], "question_type": "zt_w_d" }
98
scannet/scene0421_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nA rectangular brown basket perched atop a shelf above plastic containers adds a touch of organization to the space.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 0.7526712715625761, 0.57093334197998, 1.284540474414825, 0.14624041318893402, 0.443102121353149, 0.30078876018524103 ], [ 0.757499366998672, -0.22532008588314, 0.971557080745697, 0.14295774698257402, 0.441484719514846, 0.313892245292663 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 11, 9 ], "question_type": "mt" }
99
scannet/scene0276_00
[ { "from": "human", "value": "<image>Identify the object according to the following description.\nThe white, rectangular refrigerator is located between the sink and the table.\nThere may be no corresponding object, or there may be one or more objects." }, { "from": "gpt", "value": "<ground>" } ]
[ [ 1.528588950634002, -0.076071619987487, 0.8478902485221621, 0.18837058544158902, 0.7405678033828731, 1.651776570826768 ] ]
{ "ann_id": 0, "dataset": "multi3drefer", "object_id": [ 4 ], "question_type": "st_wo_d" }
End of preview.
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Data Preparation

Preprocessing

The directory should be orgainized as 

Video-3D-LLM # project root
├── data
│   ├── scannet
│   │   ├── scans
│   │   ├── posed_images
│   │   ├── pcd_with_object_aabbs
│   │   └── mask
│   ├── embodiedscan
│   │   ├── embodiedscan_infos_train.pkl
│   │   ├── embodiedscan_infos_val.pkl
│   │   └── embodiedscan_infos_test.pkl
│   ├── metadata
│   │   ├── scannet_select_frames.json
│   │   ├── pcd_discrete_0.1.pkl
│   │   ├── scannet_train_gt_box.json
│   │   └── scannet_val_pred_box.json
│   ├── prcoessed
│   │   ├── multi3drefer_train_llava_style.json
│   │   ├── multi3drefer_val_llava_style.json
│   │   ├── ...

ScanNet v2

  1. Download the ScanNet v2 dataset here. The folder of ScanNet should look like
Video-3D-LLM # project root
├── data
│   ├── scannet
│   │   ├── scans
│   │   │   ├── [scene_id]
│   │   │   │   ├── [scene_id]_vh_clean_2.ply
│   │   │   │   ├── [scene_id]_vh_clean_2.0.010000.segs.json
│   │   │   │   ├── [scene_id].aggregation.json
│   │   │   │   ├── [scene_id].txt
│   │   │   │   └── [scene_id].sens
  1. Extract color images, depth images and camera parameter using the following script, which is modified from EmbodiedScan.
python scripts/3d/preprocessing/generate_image_scannet.py --fast

Please extract the processed color images through cat posed_images_part** > posed_images.tar.gz.

  1. Extract point clouds for each scene.
python scripts/3d/preprocessing/extract_scannet_pcd.py

This will generate the point clouds and object bounding boxes for each scan.

EmbodiedScan

Download EmbodiedScan data at this link. You need to fill out the official form to get the access to the dataset. Decompress the embodiedscan and the directory should be orgainized as

├── data
│   ├── metadata
│   │   ├── embodiedscan
│   │   │   ├── embodiedscan_infos_train.pkl
│   │   │   ├── embodiedscan_infos_val.pkl
│   │   │   └── embodiedscan_infos_test.pkl

Meta Information

  1. Prepare the object proposals. For training set, we directly use the ground truth via the following command.
python scripts/3d/preprocessing/extract_gt_box.py

For the validation set, we utilize the object proposals detected by Mask3D. LEO provided the corresponding annotation results here. We place it at data/scannet/mask and process it using the following script.

python scripts/3d/preprocessing/extract_pred_box.py
  1. Prepare the maximum coverage sampling. Firstly we need to preprocess the voxel for each scan for maximum coverage sampling. The results will be saved at data/metadata/pcd_discrete_0.1.pkl.
python scripts/3d/preprocessing/convert_pcd_to_voxel.py

And then we perform the maximum coverage sampling offiline, and the results will be saved at data/metadata/scannet_select_frames.json.

python scripts/3d/preprocessing/max_coverage_sampling.py

Downstream Benchmarks

  1. SQA3D: Download the SQA3D and convert the annotation to the LLaVA format using the following script.
python scripts/3d/preprocessing/process_sqa3d.py
  1. ScanQA: Download the ScanQA and convert the annotation using the following script.
python scripts/3d/preprocessing/process_scanqa.py
  1. ScanRefer: Download the ScanRefer, and then run the following command.
python scripts/3d/preprocessing/process_scanrefer.py
  1. Scan2Cap: Convert the annotation of ScanRefer to Scan2Cap.
python scripts/3d/preprocessing/process_scan2cap.py
  1. Multi3DRefer: Download the Multi3DRefer.
python scripts/3d/preprocessing/process_multi3drefer.py
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