Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
video: string
video_id: string
height: int64
width: int64
expression: string
type_id: int64
exp_id: string
masks: list<item: string>
  child 0, item: string
sampling_type: string
target_frames: int64
filename: 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
frame_idx: list<item: int64>
  child 0, item: int64
to
{'video': Value('string'), 'conversations': List({'from': Value('string'), 'value': Value('string')}), 'frame_idx': List(Value('int64')), 'masks': List(Json(decode=True)), 'filename': Value('string'), 'video_id': Value('string'), 'target_frames': Value('int64'), 'sampling_type': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 265, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              video: string
              video_id: string
              height: int64
              width: int64
              expression: string
              type_id: int64
              exp_id: string
              masks: list<item: string>
                child 0, item: string
              sampling_type: string
              target_frames: int64
              filename: 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
              frame_idx: list<item: int64>
                child 0, item: int64
              to
              {'video': Value('string'), 'conversations': List({'from': Value('string'), 'value': Value('string')}), 'frame_idx': List(Value('int64')), 'masks': List(Json(decode=True)), 'filename': Value('string'), 'video_id': Value('string'), 'target_frames': Value('int64'), 'sampling_type': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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.

video
string
conversations
list
frame_idx
list
masks
list
filename
string
video_id
string
target_frames
int64
sampling_type
string
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment the object with the following attributes: rectangular shape, metallic exterior, black front door, located under a cabinet, contains a wrapped food item inside in the video?" }, { "from": "gpt", "value": "There isn't a the object with the following att...
[ 0, 37, 75, 112, 150, 187, 225, 262 ]
[ "{\"0\":null,\"37\":null,\"75\":null,\"112\":null,\"150\":null,\"187\":null,\"225\":null,\"262\":null}", "{\"0\":null,\"37\":null,\"75\":null,\"112\":null,\"150\":null,\"187\":null,\"225\":null,\"262\":null}", "{\"0\":null,\"37\":{\"size\":[1440,1920],\"counts\":\"dl1W1i[1000N2M4L4M2M4M3M3M2N2N3M2N3M2N3M3N0O1O2...
622c1b29-76c6-4845-95df-7e54792687d4_8f_start_000000.json
622c1b29-76c6-4845-95df-7e54792687d4
8
start
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment the pair of wooden chopsticks, light brown in color, initially resting on the stovetop near the frying pan and later seen being held near the sink while handling food in the video?" }, { "from": "gpt", "value": "It is [SEG]." }, { "from": "hum...
[ 18, 55, 93, 130, 168, 205, 243, 280 ]
[ "{\"18\":null,\"55\":null,\"93\":null,\"130\":null,\"168\":null,\"205\":null,\"243\":null,\"280\":{\"size\":[1440,1920],\"counts\":\"UhcS27h\\\\14M1O1O2N100O2N100O100O100O100O101O0O100O100O1O100O01000O10000O10O10O101O0000O0100O1000000O0100000O100O01000O01000O10000O100000O0100000000O10000O100O10000O10O10O100O100O2OO...
622c1b29-76c6-4845-95df-7e54792687d4_8f_middle_000001.json
622c1b29-76c6-4845-95df-7e54792687d4
8
middle
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment the silver rectangular microwave located on the left side of the kitchen counter, positioned near a coffee maker, paper towels, and a roll of plastic wrap, with its door opened in some frames and containing a wrapped food item in the video?" }, { "from": ...
[ 36, 73, 111, 148, 186, 223, 261, 298 ]
[ "{\"36\":null,\"73\":null,\"111\":null,\"148\":null,\"186\":null,\"223\":null,\"261\":null,\"298\":null}", "{\"36\":null,\"73\":null,\"111\":null,\"148\":null,\"186\":{\"size\":[1440,1920],\"counts\":\"W^\\\\[28h\\\\11O1O1O2N10000001OO2O000O1O100000000O2O000O101O0O2O0O2O00000O100000001N1001O0000O1000001O000000001...
622c1b29-76c6-4845-95df-7e54792687d4_8f_end_000002.json
622c1b29-76c6-4845-95df-7e54792687d4
8
end
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment wooden chopsticks on the stovetop and sink in the video?" }, { "from": "gpt", "value": "It is [SEG]." }, { "from": "human", "value": "Can you segment kitchen knife with the following attributes: metallic blade with a dark handle, located o...
[ 0, 18, 37, 56, 75, 93, 112, 131, 150, 168, 187, 206, 225, 243, 262, 281 ]
[ "{\"0\":null,\"18\":null,\"37\":null,\"56\":null,\"75\":null,\"93\":null,\"112\":null,\"131\":null,\"150\":null,\"168\":null,\"187\":{\"size\":[1440,1920],\"counts\":\"RU_W23l\\\\14M1O1O1O1O1O1O1O001O10O01O0010O0100O1O01000O010O10O0100O0100O01000O010O010O0100O010O00100O010O1O010000O100O010O010O10O10O0100O00100O0100...
622c1b29-76c6-4845-95df-7e54792687d4_16f_start_000003.json
622c1b29-76c6-4845-95df-7e54792687d4
16
start
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment the object with the following attributes: metallic blade with a dark handle, located on a countertop near food items, medium-sized compared to surrounding objects in the video?" }, { "from": "gpt", "value": "It is [SEG]." }, { "from": "human",...
[ 9, 27, 46, 65, 84, 102, 121, 140, 159, 177, 196, 215, 234, 252, 271, 290 ]
[ "{\"9\":{\"size\":[1440,1920],\"counts\":\"ZV^`21j\\\\17N1N2O1N3N1O2M2O1O1N2O1O1O1O001O1O1O0O2O1O1O00001O001O000010O0001O00001O001O0001O01O001O010O001O0001O0001O0001O0000001O010O0000010O0001O0001O00001O00001O001O1O1O2N2N3M2N2NW^3\"},\"27\":{\"size\":[1440,1920],\"counts\":\"Qolb23m\\\\14K2N3N1O1N2O1O1O1N2O1O1O1O1O1...
622c1b29-76c6-4845-95df-7e54792687d4_16f_middle_000004.json
622c1b29-76c6-4845-95df-7e54792687d4
16
middle
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment the object with the following attributes: metallic blade with a dark handle, located on a countertop near food items, medium-sized compared to surrounding objects in the video?" }, { "from": "gpt", "value": "It is [SEG]." }, { "from": "human",...
[ 17, 35, 54, 73, 92, 110, 129, 148, 167, 185, 204, 223, 242, 260, 279, 298 ]
[ "{\"17\":{\"size\":[1440,1920],\"counts\":\"UUjb23i\\\\16N1N3N1N2O1O2M2O1O1O1O1O1O1N2O1O1O1O001O1O1O00100O001O001O001O0000000RWO\"},\"35\":{\"size\":[1440,1920],\"counts\":\"QfZb27i\\\\12M2O1N3N1O1O1N2O1O1O1O1O1N2O1O001O1O1O001O1O00100O001O00001O01O01O001O0000010O00001oj4\"},\"54\":{\"size\":[1440,1920],\"counts\":...
622c1b29-76c6-4845-95df-7e54792687d4_16f_end_000005.json
622c1b29-76c6-4845-95df-7e54792687d4
16
end
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment the silver microwave on the kitchen counter in the video?" }, { "from": "gpt", "value": "There isn't a the silver microwave on the kitchen counter in this video." }, { "from": "human", "value": "Can you segment the metallic kitchen knife w...
[ 0, 9, 18, 28, 37, 46, 56, 65, 75, 84, 93, 103, 112, 121, 131, 140, 150, 159, 168, 178, 187, 196, 206, 215, 225, 234, 243, 253, 262, 271, 281, 290 ]
[ "{\"0\":null,\"9\":null,\"18\":null,\"28\":null,\"37\":null,\"46\":null,\"56\":null,\"65\":null,\"75\":null,\"84\":null,\"93\":null,\"103\":null,\"112\":null,\"121\":null,\"131\":null,\"140\":null,\"150\":null,\"159\":null,\"168\":null,\"178\":null,\"187\":null,\"196\":null,\"206\":null,\"215\":null,\"225\":null,\"...
622c1b29-76c6-4845-95df-7e54792687d4_32f_start_000006.json
622c1b29-76c6-4845-95df-7e54792687d4
32
start
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment the silver microwave on the kitchen counter in the video?" }, { "from": "gpt", "value": "There isn't a the silver microwave on the kitchen counter in this video." }, { "from": "human", "value": "Can you segment transparent plastic containe...
[ 4, 13, 22, 32, 41, 50, 60, 69, 79, 88, 97, 107, 116, 125, 135, 144, 154, 163, 172, 182, 191, 200, 210, 219, 229, 238, 247, 257, 266, 275, 285, 294 ]
[ "{\"4\":null,\"13\":null,\"22\":null,\"32\":null,\"41\":null,\"50\":null,\"60\":null,\"69\":null,\"79\":null,\"88\":null,\"97\":null,\"107\":null,\"116\":null,\"125\":null,\"135\":null,\"144\":null,\"154\":null,\"163\":null,\"172\":null,\"182\":null,\"191\":null,\"200\":null,\"210\":null,\"219\":null,\"229\":null,\...
622c1b29-76c6-4845-95df-7e54792687d4_32f_middle_000007.json
622c1b29-76c6-4845-95df-7e54792687d4
32
middle
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment the object that can store or hold small food items with the following attributes: small, rectangular, transparent, located on the countertop near a cutting board in the video?" }, { "from": "gpt", "value": "It is [SEG]." }, { "from": "human", ...
[ 8, 17, 26, 36, 45, 54, 64, 73, 83, 92, 101, 111, 120, 129, 139, 148, 158, 167, 176, 186, 195, 204, 214, 223, 233, 242, 251, 261, 270, 279, 289, 298 ]
[ "{\"8\":null,\"17\":null,\"26\":{\"size\":[1440,1920],\"counts\":\"k?T1l[100000O2N1N3M2N3L3N3M2M4M2N3N1M4M2O1O2M2N2N2N2O1O2N11M3M3M3N2N2N101N1O1O2N1O2N1O1N4M1M4L3N2N2O102L5K4L4J6D<EnUna2\"},\"36\":{\"size\":[1440,1920],\"counts\":\"Vf4c0\\\\\\\\12M4L3L4L4L4N1M4K5N1N4K3N3N2eNRNagNP2fY11N2N3N1N3L3N3N1O001O0O101N1010O...
622c1b29-76c6-4845-95df-7e54792687d4_32f_end_000008.json
622c1b29-76c6-4845-95df-7e54792687d4
32
end
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment kitchen knife with the following attributes: metallic blade with a dark handle, located on a countertop near food items, medium-sized compared to surrounding objects in the video?" }, { "from": "gpt", "value": "It is [SEG]." }, { "from": "huma...
[ 0, 4, 9, 14, 18, 23, 28, 32, 37, 42, 46, 51, 56, 60, 65, 70, 75, 79, 84, 89, 93, 98, 103, 107, 112, 117, 121, 126, 131, 135, 140, 145, 150, 154, 159, 164, 168, 173, 178, 182, 187, 192, 196, 201, 206, 210, 215, 220, 225, ...
[ "{\"0\":{\"size\":[1440,1920],\"counts\":\"U[g^21l\\\\16K5L2N2O1O1O1O2N1N2O1O1O1O001O1O001O1O1O001O01O01O001O001O010O001O010O0010O01O0010O01O00010O000001O01O01O0010O010O0010O01O010O0010O00100O0010O010O0100O2N2N100O2N1O100O1O10O010O010O10O1O10O01O00010O0001O0010O0001O000010O000010O01O00001O01O0001O01O000000000fVO\"}...
622c1b29-76c6-4845-95df-7e54792687d4_64f_start_000009.json
622c1b29-76c6-4845-95df-7e54792687d4
64
start
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment wooden chopsticks on the stovetop and sink in the video?" }, { "from": "gpt", "value": "It is [SEG]." }, { "from": "human", "value": "Can you segment the object that can cut vegetables or other food items with the following attributes: met...
[ 2, 6, 11, 16, 20, 25, 30, 34, 39, 44, 48, 53, 58, 62, 67, 72, 77, 81, 86, 91, 95, 100, 105, 109, 114, 119, 123, 128, 133, 137, 142, 147, 152, 156, 161, 166, 170, 175, 180, 184, 189, 194, 198, 203, 208, 212, 217, 222, 227...
[ "{\"2\":null,\"6\":null,\"11\":null,\"16\":null,\"20\":null,\"25\":null,\"30\":null,\"34\":null,\"39\":null,\"44\":null,\"48\":null,\"53\":null,\"58\":null,\"62\":null,\"67\":null,\"72\":null,\"77\":null,\"81\":null,\"86\":null,\"91\":null,\"95\":null,\"100\":null,\"105\":null,\"109\":null,\"114\":null,\"119\":null...
622c1b29-76c6-4845-95df-7e54792687d4_64f_middle_000010.json
622c1b29-76c6-4845-95df-7e54792687d4
64
middle
EgoMask/EgoMask/dataset/egomask-train/train/JPEGImages/622c1b29-76c6-4845-95df-7e54792687d4
[ { "from": "human", "value": "Can you segment wooden chopsticks on the stovetop and sink in the video?" }, { "from": "gpt", "value": "It is [SEG]." }, { "from": "human", "value": "Can you segment kitchen knife with the following attributes: metallic blade with a dark handle, located o...
[ 3, 7, 12, 17, 21, 26, 31, 35, 40, 45, 49, 54, 59, 63, 68, 73, 78, 82, 87, 92, 96, 101, 106, 110, 115, 120, 124, 129, 134, 138, 143, 148, 153, 157, 162, 167, 171, 176, 181, 185, 190, 195, 199, 204, 209, 213, 218, 223, 228...
[ "{\"3\":null,\"7\":null,\"12\":null,\"17\":null,\"21\":null,\"26\":null,\"31\":null,\"35\":null,\"40\":null,\"45\":null,\"49\":null,\"54\":null,\"59\":null,\"63\":null,\"68\":null,\"73\":null,\"78\":null,\"82\":null,\"87\":null,\"92\":null,\"96\":null,\"101\":null,\"106\":null,\"110\":null,\"115\":null,\"120\":null...
622c1b29-76c6-4845-95df-7e54792687d4_64f_end_000011.json
622c1b29-76c6-4845-95df-7e54792687d4
64
end
End of preview.

No dataset card yet

Downloads last month
12