Datasets:

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sequence
tokens_b
sequence
labels_a
sequence
labels_b
sequence
lang_a
stringclasses
1 value
lang_b
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subset
stringclasses
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3
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[ "A", "gray", "cat", "lying", "on", "a", "wooden", "table", "." ]
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[ "Green", "and", "white", "bird", "perched", "on", "tree", "branch", "." ]
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[ "A", "small", "white", "cat", "with", "glowing", "eyes", "standing", "underneath", "a", "chair", "." ]
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[ "A", "group", "of", "people", "eat", "at", "a", "table", "outside", "." ]
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[ "A", "bull", "standing", "in", "the", "field", "." ]
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[{"sent1_word_ids": [1, 2, 3, 4, 5], "sent2_word_ids": [1, 2, 3, 4, 5], "type": "EQUI", "score": 5.0, "comment": "Four blue and yellow planes <==> Four blue and yellow planes "}, {"sent1_word_ids": [7, 8, 9], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": "over four boats <==> -not aligned- "}, {"sent1_word_ids": [10], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": ". <==> -not aligned- "}, {"sent1_word_ids": [6], "sent2_word_ids": [6, 7], "type": "EQUI", "score": 5.0, "comment": "flying <==> in flight "}, {"sent1_word_ids": [0], "sent2_word_ids": [8], "type": "NOALI", "score": null, "comment": "-not aligned- <==> ."}]
[ "A", "train", "is", "at", "a", "train", "station", "." ]
[ "A", "train", "parked", "at", "a", "train", "station", "." ]
[ 0, 0, 0, 0, 0, 0, 0, -1 ]
[ 0, 0, 0, 0, 0, 0, 0, -1 ]
en
en
images
144
[{"sent1_word_ids": [0], "sent2_word_ids": [8], "type": "NOALI", "score": null, "comment": "-not aligned- <==> . "}, {"sent1_word_ids": [4, 5, 6, 7], "sent2_word_ids": [4, 5, 6, 7], "type": "EQUI", "score": 5.0, "comment": "at a train station <==> at a train station "}, {"sent1_word_ids": [3], "sent2_word_ids": [3], "type": "EQUI", "score": 5.0, "comment": "is <==> parked "}, {"sent1_word_ids": [1, 2], "sent2_word_ids": [1, 2], "type": "EQUI", "score": 5.0, "comment": "A train <==> A train "}, {"sent1_word_ids": [8], "sent2_word_ids": [0], "type": "NOALI", "score": null, "comment": ". <==> -not aligned-"}]