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A person on a horse jumps over a broken down airplane.
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[ 436701 ]
Children smiling and waving at camera
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[ 188011 ]
A boy is jumping on skateboard in the middle of a red bridge.
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[ 251908 ]
Two blond women are hugging one another.
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[ 48435 ]
A few people in a restaurant setting, one of them is drinking orange juice.
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[ 317278 ]
An older man is drinking orange juice at a restaurant.
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[ 321031 ]
A man with blond-hair, and a brown shirt drinking out of a public water fountain.
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[ 313313 ]
Two women who just had lunch hugging and saying goodbye.
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[ 276752 ]
Two women, holding food carryout containers, hug.
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[ 164627 ]
A Little League team tries to catch a runner sliding into a base in an afternoon game.
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[ 100889 ]
The school is having a special event in order to show the american culture on how other cultures are dealt with in parties.
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[ 498588 ]
High fashion ladies wait outside a tram beside a crowd of people in the city.
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[ 330848 ]
A man, woman, and child enjoying themselves on a beach.
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A couple playing with a little boy on the beach.
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[ 39057 ]
A couple play in the tide with their young son.
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[ 228891 ]
A man and a woman cross the street in front of a pizza and gyro restaurant.
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[ 436077 ]
A woman in a green jacket and hood over her head looking towards a valley.
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[ 273296 ]
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.
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[ 239316 ]
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.
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A woman wearing all white and eating, walks next to a man holding a briefcase.
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[ 384576 ]
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MSA Pretrain Data

Retrieval-style pretraining corpora. Each subset is split into two parts:

file columns meaning
<subset>/queries/*.parquet question, answer, reference_ids: list<int64>, labels: list<int64> query, plus row indices into the subset's reference table
<subset>/references/*.parquet value: string the reference/memory passage text

reference_ids are the candidate pool for a query; labels are the positive(s). Both are global row indices into the subset's references/ table, taken as the concatenation of its parquet shards in filename order.

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