Datasets:

Gregor
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mblip-train

Languages:

English

multilingual

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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 3 new columns ({'left_image', 'text_label', 'right_image'}) and 1 missing columns ({'image_id'}).

This happened while the json dataset builder was generating data using

hf://datasets/Gregor/mblip-train/marvl/nlvr_train_en.json (at revision 123e944ed13e5108285e70b58983def207301754)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              context: string
              left_image: string
              right_image: string
              text_label: string
              label: string
              to
              {'context': Value(dtype='string', id=None), 'label': Value(dtype='string', id=None), 'image_id': 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2013, 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 3 new columns ({'left_image', 'text_label', 'right_image'}) and 1 missing columns ({'image_id'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Gregor/mblip-train/marvl/nlvr_train_en.json (at revision 123e944ed13e5108285e70b58983def207301754)
              
              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.

image_id string	context string	label string
1000092795.jpg	Caption the image.	Two young guys with shaggy hair look at their hands while hanging out in the yard.
1000092795.jpg	Caption the image.	Two young, White males are outside near many bushes.
1000092795.jpg	Briefly describe the image.	Two men in green shirts are standing in a yard.
1000092795.jpg	Short image caption:	A man in a blue shirt standing in a garden.
1000092795.jpg	Short image caption:	Two friends enjoy time spent together.
10002456.jpg	Short image caption:	Several men in hard hats are operating a giant pulley system.
10002456.jpg	Caption the image.	Workers look down from up above on a piece of equipment.
10002456.jpg	Summarize the image.	Two men working on a machine wearing hard hats.
10002456.jpg	Caption the image.	Four men on top of a tall structure.
10002456.jpg	Summarize the image.	Three men on a large rig.
1000268201.jpg	Write a short image description.	A child in a pink dress is climbing up a set of stairs in an entry way.
1000268201.jpg	Caption the image.	A little girl in a pink dress going into a wooden cabin.
1000268201.jpg	Caption the image.	A little girl climbing the stairs to her playhouse.
1000268201.jpg	Caption the image.	A little girl climbing into a wooden playhouse.
1000268201.jpg	Short image caption:	A girl going into a wooden building.
1000344755.jpg	Short image caption:	Someone in a blue shirt and hat is standing on stair and leaning against a window.
1000344755.jpg	Summarize the image.	A man in a blue shirt is standing on a ladder cleaning a window.
1000344755.jpg	Summarize the image.	A man on a ladder cleans the window of a tall building.
1000344755.jpg	Caption the image.	Man in blue shirt and jeans on ladder cleaning windows
1000344755.jpg	Summarize the image.	A man on a ladder cleans a window
1000366164.jpg	Short image caption:	Two men, one in a gray shirt, one in a black shirt, standing near a stove.
1000366164.jpg	Summarize the image.	Two guy cooking and joking around with the camera.
1000366164.jpg	Write a short image description.	Two men in a kitchen cooking food on a stove.
1000366164.jpg	Short image caption:	Two men are at the stove preparing food.
1000366164.jpg	Write a short image description.	Two men are cooking a meal.
1000523639.jpg	Summarize the image.	Two people in the photo are playing the guitar and the other is poking at him.
1000523639.jpg	Briefly describe the image.	A man in green holds a guitar while the other man observes his shirt.
1000523639.jpg	Caption the image.	A man is fixing the guitar players costume.
1000523639.jpg	Short image caption:	A guy stitching up another man's coat.
1000523639.jpg	Write a short image description.	The two boys playing guitar
1000919630.jpg	Briefly describe the image.	A man sits in a chair while holding a large stuffed animal of a lion.
1000919630.jpg	Briefly describe the image.	A man is sitting on a chair holding a large stuffed animal.
1000919630.jpg	Short image caption:	A man completes the finishing touches on a stuffed lion.
1000919630.jpg	Short image caption:	A man holds a large stuffed lion toy.
1000919630.jpg	Briefly describe the image.	A man is smiling at a stuffed lion
10010052.jpg	Caption the image.	A girl is on rollerskates talking on her cellphone standing in a parking lot.
10010052.jpg	Caption the image.	A trendy girl talking on her cellphone while gliding slowly down the street.
10010052.jpg	Write a short image description.	A young adult wearing rollerblades, holding a cellular phone to her ear.
10010052.jpg	Caption the image.	There is a young girl on her cellphone while skating.
10010052.jpg	Briefly describe the image.	Woman talking on cellphone and wearing rollerskates.
1001465944.jpg	Briefly describe the image.	An asian man wearing a black suit stands near a dark-haired woman and a brown-haired woman.
1001465944.jpg	Summarize the image.	Three people are standing outside near large pipes and a metal railing.
1001465944.jpg	Briefly describe the image.	A young woman walks past two young people dressed in hip black outfits.
1001465944.jpg	Caption the image.	A woman with a large purse is walking by a gate.
1001465944.jpg	Write a short image description.	Several people standing outside a building.
1001545525.jpg	Summarize the image.	Two men in Germany jumping over a rail at the same time without shirts.
1001545525.jpg	Caption the image.	Two youths are jumping over a roadside railing, at night.
1001545525.jpg	Write a short image description.	Boys dancing on poles in the middle of the night.
1001545525.jpg	Caption the image.	Two men with no shirts jumping over a rail.
1001545525.jpg	Summarize the image.	Two guys jumping over a gate together
1001573224.jpg	Briefly describe the image.	Five ballet dancers caught mid jump in a dancing studio with sunlight coming through a window.
1001573224.jpg	Summarize the image.	Ballet dancers in a studio practice jumping with wonderful form.
1001573224.jpg	Briefly describe the image.	Five girls are leaping simultaneously in a dance practice room.
1001573224.jpg	Summarize the image.	Five girls dancing and bending feet in ballet class.
1001573224.jpg	Short image caption:	A ballet class of five girls jumping in sequence.
1001633352.jpg	Caption the image.	Three young men and a young woman wearing sneakers are leaping in midair at the top of a flight of concrete stairs.
1001633352.jpg	Caption the image.	Four casually dressed guys jumping down a stairway outdoors with a stone wall behind them.
1001633352.jpg	Short image caption:	Four guys three wearing hats one not are jumping at the top of a staircase.
1001633352.jpg	Briefly describe the image.	Four men with excited faces are jumping down from the top of stairs.
1001633352.jpg	Caption the image.	Four people are jumping from the top of a flight of stairs.
1001773457.jpg	Short image caption:	A black dog and a white dog with brown spots are staring at each other in the street.
1001773457.jpg	Caption the image.	A black dog and a tri-colored dog playing with each other on the road.
1001773457.jpg	Write a short image description.	Two dogs of different breeds looking at each other on the road.
1001773457.jpg	Briefly describe the image.	Two dogs on pavement moving toward each other.
1001773457.jpg	Write a short image description.	A black dog and a spotted dog are fighting
1001896054.jpg	Briefly describe the image.	A man with reflective safety clothes and ear protection drives a John Deere tractor on a road.
1001896054.jpg	Short image caption:	John Deere tractors cruises down a street, while the driver wears easy to see clothing.
1001896054.jpg	Briefly describe the image.	A man in a neon green and orange uniform is driving on a green tractor.
1001896054.jpg	Briefly describe the image.	A man in a tractor wearing headphones driving down a paved street.
1001896054.jpg	Short image caption:	A man driving a John Deere tractor on a main road in the country.
100197432.jpg	Briefly describe the image.	Some women are standing in front of a bus with buildings behind it.
100197432.jpg	Caption the image.	Several women stand on a city street with tall buildings.
100197432.jpg	Summarize the image.	A group of women are standing in front of a bus.
100197432.jpg	Short image caption:	Several women wait outside in a city.
100197432.jpg	Summarize the image.	Women are standing outside
100207720.jpg	Short image caption:	A young woman with dark hair and wearing glasses is putting white powder on a cake using a sifter.
100207720.jpg	Short image caption:	A lady in a black top with glasses is sprinkling powdered sugar on a bundt cake.
100207720.jpg	Write a short image description.	A woman wearing glasses sprinkles powdered sugar onto her bundt cake.
100207720.jpg	Write a short image description.	Girl in black jacket sifting powdered sugar over a chocolate cake.
100207720.jpg	Briefly describe the image.	A standing woman holds a pan over a cake.
1002674143.jpg	Summarize the image.	A small girl in the grass plays with fingerpaints in front of a white canvas with a rainbow on it.
1002674143.jpg	Short image caption:	A little girl covered in paint sits in front of a painted rainbow with her hands in a bowl.
1002674143.jpg	Briefly describe the image.	There is a girl with pigtails sitting in front of a rainbow painting.
1002674143.jpg	Caption the image.	A little girl is sitting in front of a large painted rainbow.
1002674143.jpg	Short image caption:	Young girl with pigtails painting outside in the grass.
1003163366.jpg	Caption the image.	A man sleeping on a bench outside with a white and black dog sitting next to him.
1003163366.jpg	Briefly describe the image.	A man lays on the bench to which a white dog is also tied.
1003163366.jpg	Write a short image description.	Man laying on bench holding leash of dog sitting on ground
1003163366.jpg	Briefly describe the image.	A shirtless man lies on a park bench with his dog.
1003163366.jpg	Caption the image.	A man lays on a bench while his dog sits by him.
1003420127.jpg	Short image caption:	A group of adults, inside a home, sitting on chairs arranged in a circle, playing a type of musical instruments.
1003420127.jpg	Summarize the image.	Five musicians, a man and four women, practicing sheet music (using flutes ) in a living room.
1003420127.jpg	Briefly describe the image.	People gathered in a circle, some holding musical instruments.
1003420127.jpg	Short image caption:	People gathered in a room to talk about their favorite tunes.
1003420127.jpg	Write a short image description.	Five people are sitting in a circle with instruments.
1003428081.jpg	Write a short image description.	Two women, both wearing glasses, are playing clarinets and an elderly woman is playing a stringed instrument.
1003428081.jpg	Write a short image description.	At least four instrumentalists play clarinets and other instruments in a curtained room.
1003428081.jpg	Short image caption:	Four women in a living room, three of which are clearly playing a musical instrument.
1003428081.jpg	Briefly describe the image.	A bunch of elderly women play their clarinets together as they read off sheet music.
1003428081.jpg	Short image caption:	A group of four women, are performing music on their instruments.

End of preview.

mBLIP Instruct Mix Dataset Card

Important!

This dataset currently does not work directly with datasets.load_dataset(Gregor/mblip-train)! Please download the data files you need and load them with datasets.load_dataset("json", data_files="filename").

Dataset details

Dataset type: This is the instruction mix used to train mBLIP.

See https://github.com/gregor-ge/mBLIP/data/README.md for more information on how to reproduce the data.

Dataset date: The dataset was created in May 2023.

Dataset languages: The original English examples were machine translated to the following 95 languages: af, am, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fil, fr, ga, gd, gl, gu, ha, hi, ht, hu, hy, id, ig, is, it, iw, ja, jv, ka, kk, km, kn, ko, ku, ky, lb, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, no, ny, pa, pl, ps, pt, ro, ru, sd, si, sk, sl, sm, sn, so, sq, sr, st, su, sv, sw, ta, te, tg, th, tr, uk, ur, uz, vi, xh, yi, yo, zh, zu

Languages are translated proportional to their size in mC4, i.e., as 6% of examples in mC4 are German, we translate 6% of the data to German.

Dataset structure:

task_mix_mt.json: The instruction mix data in the processed, translated, and combined form.
Folders: The folders contain 1) the separate tasks used to generate the mix and 2) the files of the tasks used to evaluate the model.

Images: We do not include any images with this dataset. Images from the public datasets (MSCOCO for instruction training, and others for evaluation) can be downloaded from the respective websites. For the BLIP captions, we provide the URLs and filenames as used by us here. To download them, our code can be adapted, for example.

License: Must comply with license of the original datasets used to create this mix. See https://github.com/gregor-ge/mBLIP/data/README.md for more.

Translations were produced with NLLB so use has to comply with their license.

Where to send questions or comments about the model: https://github.com/gregor-ge/mBLIP/issues

Intended use

Primary intended uses: The primary is research on large multilingual multimodal models and chatbots.

Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.

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