Datasets:
question stringlengths 5 1.82k | answer stringclasses 1
value | reference_ids listlengths 1.16k 1.69k | labels listlengths 1 1 |
|---|---|---|---|
A person on a horse jumps over a broken down airplane. | [
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Children smiling and waving at camera | [
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A boy is jumping on skateboard in the middle of a red bridge. | [
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Two blond women are hugging one another. | [
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A few people in a restaurant setting, one of them is drinking orange juice. | [
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An older man is drinking orange juice at a restaurant. | [
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A man with blond-hair, and a brown shirt drinking out of a public water fountain. | [
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Two women who just had lunch hugging and saying goodbye. | [
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Two women, holding food carryout containers, hug. | [
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A Little League team tries to catch a runner sliding into a base in an afternoon game. | [
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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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High fashion ladies wait outside a tram beside a crowd of people in the city. | [
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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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A couple play in the tide with their young son. | [
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A man and a woman cross the street in front of a pizza and gyro restaurant. | [
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A woman in a green jacket and hood over her head looking towards a valley. | [
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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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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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End of preview. Expand in Data Studio
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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