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2.08k
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contact_prediction_binary_train_0
QNLLKNLAASLGRKPFVADKQGVYRLTIDKHLVMLAPHGSELVLRTPIDAPMLREGNNVNVTLLRSLMQQALAWAKRYPQTLVLDDCGQLVLEARLRLQELDTHGLQEVINKQLALLEHLIPQLTP
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contact_prediction_binary_train_1
LYFQGAMALEEIKNGTDISTLDIRKFNLNINNVSVLSKSQSVDQFHLSNPHYEYLSGGAYPGEMENFTLKVDKSKKQDQVFENPLSLKFTNIGTVNGKQVDAYLNFNKVTLHYLNTAQAESEMNSAQKSTVEFFSISELWESNAFEIGNVPYVDANHDYIMNKAFWIDADVTAEIRYADGTETDLKLVMKPTDIDAIDANNLKETFYVKNYQNDVNLRLMNNANVLVQEEASDRTSWIATQITGGSYNENNVSGLALRSNSNSMNFGYSSTETCSAVFGLYIEKIDPRPVLEVDPAEIPAKDGQDVTYKATFKVPVPGKD...
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contact_prediction_binary_train_2
MYLEKLQQWRYATADFSGAHITDDVLDKLLNTTRLTASSYGLQPYCTLVIRNKGLREQLVNHSFGQQKVADSSALVIFAAKTGAVADIVDPYISELSQQRQLTNEEAENTRNYFTQKLQAMSAATRKEWAVRQAYIGLGTFLLAAAELEVDSCPMEGIEHDAYDNILSLKDLGLSTVFACPVGYRSEADTTQFQKKVRQPLSRFKVVL
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contact_prediction_binary_train_3
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contact_prediction_binary_train_4
RPFRPFQSQYRWPGVDLLAYKEESAPFRSVTRQVLFSGNGLTGELRYFEVGPGGHSTLERHQHAHGVMILKGRGHAMVGRAVSAVAPYDLVTIPGWSWHQFRAPADEALGFLCMVNAERDKPQLPTEADLAMLRADDAVAAFLDGLAG
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contact_prediction_binary_train_5
EAIKKLVGLQAKTAVVIRDGKEIAVPVEEVAVGDIVIVRPGEKIPVDGVVVEGESYVDESMISGEPVPVLKSKGDEVFGATINNTGVLKIRATRVGGETLLAQIVKLVEDAMG
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contact_prediction_binary_train_6
STHFDVIVVGAGSMGMAAGYQLAKQGVKTLLVDAFDPPHTNGSHHGDTRIIRHAYGEGREYVPLALRSQELWYELEKETHHKIFTKTGVLVFGPKGESAFVAETMEAAKEHSLTVDLLEGDEINKRWPGITVPENYNAIFEPNSGVLFSENCIRAYRELAEARGAKVLTHTRVEDFDISPDSVKIETANGSYTADKLIVSMGAWNSKLLSKLNLDIPLQPYRQVVGFFESDESKYSNDIDFPGFMVEVPNGIYYGFPSFGGCGLKLGYHTFGQKIDPDTINREFGVYPEDESNLRAFLEEYMPGANGELKRGAVCMYTKT...
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contact_prediction_binary_train_7
GGFAQIYTVKAGDSIYSIAKQFRIDAGKIIRANELPNPNQLVIGQSMVIPINGTYYTVKAGDTIWKVGRKLGVSYQAIANANNVSVTAPLTPGRRILIPPSPNKRNGEFLGYVETSNRKITPQTEKMINQNAKYLTYLGPANFEVQKDGSLKAPPLNNLGSIAKENDVIFLMVLANIENGAFSDEVGRAILNNKDVQDTLLNNIVKTAKEQNFRDIHFDFEFLRPADKEAYIAFLQKAKKRLQDEQLLMSVALAPKTSRDQKGKWYEAHDYKAIGEIANFVVPMTYEGGPPMAVSPIGPVRDVLEYAVSEIPSSKIIMGQ...
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contact_prediction_binary_train_8
EPLAAGAVILRRFAFNAAEQLIRDINDVASQSPFRQMVTPGGYTMSVAMTNCGHLGWTTHRQGYLYSPIDPQTNKPWPAMPQSFHNLCQRAATAAGYPDFQPDACLINRYAPGAKLSLHQDKDEPDLRAPIVSVSLGLPAIFQFGGLKRNDPLKRLLLEHGDVVVWGGESRLFYHGIQPLKAGFHPLTIDCRYNLTFRQAGKKENLY
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contact_prediction_binary_train_9
AWVDQTPRTATKETGESLTINCVLRDASFELKDTGWYRTKLGSTNEQSISIGGRYVETVNKGSKSFSLRISDLRVEDSGTYKCQAFYVFFAEDVGSNKGAIIGLMVGGVVIGGEKGAGTALTVKAA
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contact_prediction_binary_train_10
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contact_prediction_binary_train_11
MKRLSLREAWPYLKDLQQDPLAVLLAWGRAHPRLFLPLPRFPLALIFDPEGVEGALLAEGTTKATFQYRALSRLTGRGLLTDWGESWKEARKALKDPFLPKNVRGYREAMEEEARAFFGEWRGEERDLDHEMLALSLRLLGRALFGKPLSPSLAEHALKALDRIMAQTRSPLALLDLAAEARFRKDRGALYREAEALIVHPPLSHLPRERALSEAVTLLVAGHETVASALTWSFLLLSHRPDWQKRVAESEEAALAAFQEALRLYPPAWILTRRLERPLLLGEDRLPPGTTLVLSPYVTQRLHFPDGEAFRPERFLEERG...
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train
contact_prediction_binary_train_12
MIYTVTFNPSIDYVIFTNDFKIDGLNRATATYKFAGGKGINVSRVLKTLDVESTALGFAGGFPGKFIIDTLNNSAIQSNFIEVDEDTRINVKLKTGQETEINAPGPHITSTQFEQLLQQIKNTTSEDIVIVAGSVPSSIPSDAYAQIAQITAQTGAKLVVDAEKELAESVLPYHPLFIKPNKDELEVMFNTTVNSDADVIKYGRLLVDKGAQSVIVSLGGDGAIYIDKEISIKAVNPQGKVVNTVGSGDSTVAGMVAGIASGLSIEKAFQQAVACGTATAFDEDLATRDAIEKIKSQVTISVLDGE
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train
contact_prediction_binary_train_13
CTCVPPHPQTAFCNSDLVIRAKFVQTTLYQRYEIKMTKMYKGFIRFVYTPAMESVCGYFHRSHNRSEEFLIAGKLQDGLLHITTCSFVAPWNSLSLAQRRGFTKTYTVGCEECTVFPCLSIPCKLQSGTHCLWTDQLLQGSEKGFQSRHLACLPREPGLCTWQS
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train
contact_prediction_binary_train_14
RIRLTKDGRCIITCKTVEVYADESMTVDTPRTTFTGDVEIQKGLGVKGKSQFDSNITAPDAIINGKSTDKH
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train
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Check out the documentation for more information.

contact_prediction_binary

Sourced from biomap-research/contact_prediction_binary and prepared for Hugging Face datasets usage.

Data files

Parquet files are stored under data/ using Hugging Face split naming conventions (train-*, validation-*, test-*).

Preparation

  • Preprocess mode: minimal.
  • Seed: 1957723.
  • No max sequence length filter was applied.
  • Renamed source columns: label -> targets, seq -> sequence.
  • Columns: id, sequence, targets, split.
  • Validation handling: upstream-provided validation split was preserved; configured seed was 1957723.
  • Split subsets: canonical train/validation/test preserve the downloaded source splits; _random, _stratified, and _cluster suffixes select pooled alternative partitions generated with seed 1957723. Each pooled partition reuses the canonical split sizes.

Sequence clustering

Configured settings used for cluster-based split assignment:

  • Minimum sequence identity (--min-seq-id): 0.3
  • Minimum coverage (-c): 0.8
  • Threads: 1
  • Seed (cluster ordering / tie-breaking): 1957723

Split sizes

  • test: 1505 rows
  • test_cluster: 1505 rows
  • test_random: 1505 rows
  • test_stratified: 1505 rows
  • train: 12041 rows
  • train_cluster: 12041 rows
  • train_random: 12041 rows
  • train_stratified: 12041 rows
  • validation: 1505 rows
  • validation_cluster: 1505 rows
  • validation_random: 1505 rows
  • validation_stratified: 1505 rows

Loading

from datasets import load_dataset

ds = load_dataset("<owner>/<repo>")
print(ds)
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