seed
int64 42
46
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stringclasses 6
values | model
stringclasses 13
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int64 10
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sequencelengths 1
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float64 0.93
52.3k
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stringclasses 5
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float64 0.09
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float64 -0.38
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float64 0.11
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42 | Wiki Medical | BERTopic | 10 | [
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] | 35.507016 | average_word_embeddings_glove.6B.300d | 0.35 | -0.015182 | 0.249938 | 0.187303 |
42 | Wiki Medical | BERTopic | 20 | [
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] | 36.343039 | average_word_embeddings_glove.6B.300d | 0.385 | 0.005002 | 0.21618 | 0.193015 |
42 | Wiki Medical | BERTopic | 30 | [
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] | 35.674522 | average_word_embeddings_glove.6B.300d | 0.476667 | 0.041757 | 0.210253 | 0.224172 |
42 | Wiki Medical | BERTopic | 40 | [
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] | 35.545405 | average_word_embeddings_glove.6B.300d | 0.5425 | 0.065109 | 0.21895 | 0.253305 |
42 | Wiki Medical | BERTopic | 50 | [
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42 | Wiki Medical | Top2Vec | 10 | [
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42 | Wiki Medical | Top2Vec | 20 | [
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42 | Wiki Medical | Top2Vec | 30 | [
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42 | Wiki Medical | Top2Vec | 50 | [
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] | 35.826936 | average_word_embeddings_glove.6B.300d | 0.295349 | 0.025983 | 0.277763 | 0.231011 |
42 | Wiki Medical | GMM | 10 | [
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]
] | 19.627221 | average_word_embeddings_glove.6B.300d | 1 | 0.044228 | 0.306872 | 0.465461 |
42 | Wiki Medical | GMM | 20 | [
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[
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] | 16.632484 | average_word_embeddings_glove.6B.300d | 0.98 | 0.024755 | 0.284907 | 0.468785 |
42 | Wiki Medical | GMM | 30 | [
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[
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[
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[
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[
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[
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[
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] | 17.278312 | average_word_embeddings_glove.6B.300d | 0.95 | 0.031331 | 0.311641 | 0.492224 |
42 | Wiki Medical | GMM | 40 | [
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"dermatosis",
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42 | Wiki Medical | S³_combined | 10 | [
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42 | Wiki Medical | S³_combined | 40 | [
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]
] | 559.912123 | average_word_embeddings_glove.6B.300d | 0.802 | -0.035801 | 0.20886 | 0.29974 |
42 | ArXiv ML Papers | ECRTM | 10 | [
[
"media",
"review",
"solving",
"games",
"stochastic",
"pipelines",
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]
] | 54.980688 | average_word_embeddings_glove.6B.300d | 0.98 | -0.11699 | 0.125729 | 0.918229 |
42 | ArXiv ML Papers | ECRTM | 20 | [
[
"tensor",
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]
] | 140.856826 | average_word_embeddings_glove.6B.300d | 0.95 | -0.129458 | 0.139808 | 0.916233 |
42 | ArXiv ML Papers | ECRTM | 30 | [
[
"bert",
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"word",
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"language",
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] | 93.86632 | average_word_embeddings_glove.6B.300d | 0.93 | -0.14431 | 0.13755 | 0.92267 |
42 | ArXiv ML Papers | ECRTM | 40 | [
[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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]
] | 94.319338 | average_word_embeddings_glove.6B.300d | 0.9575 | -0.207852 | 0.137806 | 0.928719 |
42 | ArXiv ML Papers | ECRTM | 50 | [
[
"market",
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[
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[
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[
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],
[
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[
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[
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[
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]
] | 98.618626 | average_word_embeddings_glove.6B.300d | 0.95 | -0.226945 | 0.119285 | 0.927188 |
42 | BBC News | ECRTM | 10 | [
[
"phone",
"tv",
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[
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[
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[
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"the"
]
] | 48.00786 | average_word_embeddings_glove.6B.300d | 0.97 | 0.045989 | 0.202837 | 0.920983 |
42 | BBC News | ECRTM | 20 | [
[
"election",
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"howard",
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[
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]
] | 58.006272 | average_word_embeddings_glove.6B.300d | 0.94 | -0.062693 | 0.193699 | 0.930736 |
42 | BBC News | ECRTM | 30 | [
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],
[
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],
[
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],
[
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"apple",
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"electronics",
"ipod",
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"consumer",
"camera"
]
] | 62.564537 | average_word_embeddings_glove.6B.300d | 0.886667 | -0.034558 | 0.193317 | 0.93518 |
42 | BBC News | ECRTM | 40 | [
[
"mobiles",
"phones",
"broadband",
"operators",
"services",
"broadcasting",
"download",
"handsets",
"tv",
"mobile"
],
[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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]
] | 64.046798 | average_word_embeddings_glove.6B.300d | 0.8275 | -0.063523 | 0.183157 | 0.934608 |
42 | BBC News | ECRTM | 50 | [
[
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"disney",
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],
[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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42 | 20 Newsgroups Preprocessed | ECRTM | 10 | [
[
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] | 211.719029 | average_word_embeddings_glove.6B.300d | 0.97 | 0.17997 | 0.238012 | 0.60155 |
42 | 20 Newsgroups Preprocessed | ECRTM | 20 | [
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42 | 20 Newsgroups Preprocessed | ECRTM | 30 | [
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42 | 20 Newsgroups Preprocessed | ECRTM | 40 | [
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42 | 20 Newsgroups Preprocessed | ECRTM | 50 | [
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42 | 20 Newsgroups Raw | ECRTM | 10 | [
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42 | 20 Newsgroups Raw | ECRTM | 20 | [
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[
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],
[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
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[
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],
[
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[
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[
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]
] | 2,537.432541 | average_word_embeddings_glove.6B.300d | 0.995 | -0.106861 | 0.176633 | 0.527121 |
42 | 20 Newsgroups Raw | ECRTM | 30 | [
[
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"rupin",
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"khoh",
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"projector",
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"sampler"
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
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[
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],
[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
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],
[
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]
] | 2,931.557317 | average_word_embeddings_glove.6B.300d | 1 | -0.122879 | 0.189904 | 0.530347 |
42 | 20 Newsgroups Raw | ECRTM | 40 | [
[
"angmar",
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"cosmo",
"ohio",
"cwru",
"magnus",
"jmilhoan",
"cleveland",
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],
[
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],
[
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[
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],
[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
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[
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[
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]
] | 3,251.566616 | average_word_embeddings_glove.6B.300d | 0.99 | -0.063287 | 0.185554 | 0.546425 |
42 | 20 Newsgroups Raw | ECRTM | 50 | [
[
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"a86",
"145",
"v9fq",
"75u",
"0d",
"9f",
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
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[
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[
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[
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],
[
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],
[
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[
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],
[
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"thrush",
"fungus",
"albicans",
"candidiasis",
"systemic",
"ella",
"baff",
"yeast",
"calcom"
]
] | 3,743.69066 | average_word_embeddings_glove.6B.300d | 0.982 | -0.086159 | 0.193638 | 0.538642 |
42 | StackExchange | ECRTM | 10 | [
[
"monobehaviour",
"unityengine",
"gameobject",
"collections",
"getcomponent",
"public",
"startcoroutine",
"transform",
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"sdl_quit",
"hsp"
]
] | 7,892.626668 | average_word_embeddings_glove.6B.300d | 1 | 0.101652 | 0.143384 | 0.439892 |
42 | StackExchange | ECRTM | 20 | [
[
"isequal",
"az",
"vector1",
"k2",
"k1",
"getvector",
"lunar",
"lazer",
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]
] | 9,166.679734 | average_word_embeddings_glove.6B.300d | 1 | -0.163205 | 0.124266 | 0.461313 |
42 | StackExchange | ECRTM | 30 | [
[
"directives",
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"barebones",
"updaterotation",
"fw",
"isshooting",
"thanx",
"0c",
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[
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"stepy"
]
] | 10,411.353441 | average_word_embeddings_glove.6B.300d | 1 | -0.116751 | 0.132616 | 0.513839 |
42 | StackExchange | ECRTM | 40 | [
[
"dpi",
"640x480",
"800x600",
"retina",
"letterboxing",
"scaler",
"ppu",
"animationframe",
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[
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[
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42 | StackExchange | ECRTM | 50 | [
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] | 12,720.095938 | average_word_embeddings_glove.6B.300d | 1 | -0.086581 | 0.191245 | 0.48237 |
42 | Wiki Medical | ECRTM | 10 | [
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42 | Wiki Medical | ECRTM | 20 | [
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42 | Wiki Medical | ECRTM | 30 | [
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42 | Wiki Medical | ECRTM | 40 | [
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42 | ArXiv ML Papers | NMF | 20 | [
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42 | ArXiv ML Papers | NMF | 30 | [
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42 | ArXiv ML Papers | NMF | 40 | [
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] | 6.43562 | all-mpnet-base-v2 | 0.57 | 0.003507 | 0.147042 | 0.675621 |