id large_stringlengths 33 37 | sequence large_stringlengths 40 2.08k | targets large listlengths 144 12.6k | split large_stringclasses 1
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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 | PLMLDTAPNAFDDQYEGCVNKMEEKAPLLLQEDFNMNAKLKVAWEEAKKRWNNIKPSRSYPKGFNDFHGTALVAYTGSIAVDFNRAVREFKENPGQFHYKAFHYYLTRALQLLSNGDCHSVYRGTKTRFHYTGAGSVRFGQFTSSSLSKKVAQSQEFFSDHGTLFIIKTCLGVYIKEFSFRPDQEEVLIPGYEVYQKVRTQGYNEIFLDSPKRKKSNYNCLYS | [
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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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... | train |
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 | YDRKLFAKLRKLRKSIADESNVPPYVVFNDATLIEMAEQMPITASEMLSVNGVGMRKLERFGKPFMALIRAHVDGD | [
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contact_prediction_binary_train_11 | MKRLSLREAWPYLKDLQQDPLAVLLAWGRAHPRLFLPLPRFPLALIFDPEGVEGALLAEGTTKATFQYRALSRLTGRGLLTDWGESWKEARKALKDPFLPKNVRGYREAMEEEARAFFGEWRGEERDLDHEMLALSLRLLGRALFGKPLSPSLAEHALKALDRIMAQTRSPLALLDLAAEARFRKDRGALYREAEALIVHPPLSHLPRERALSEAVTLLVAGHETVASALTWSFLLLSHRPDWQKRVAESEEAALAAFQEALRLYPPAWILTRRLERPLLLGEDRLPPGTTLVLSPYVTQRLHFPDGEAFRPERFLEERG... | [
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contact_prediction_binary_train_12 | MIYTVTFNPSIDYVIFTNDFKIDGLNRATATYKFAGGKGINVSRVLKTLDVESTALGFAGGFPGKFIIDTLNNSAIQSNFIEVDEDTRINVKLKTGQETEINAPGPHITSTQFEQLLQQIKNTTSEDIVIVAGSVPSSIPSDAYAQIAQITAQTGAKLVVDAEKELAESVLPYHPLFIKPNKDELEVMFNTTVNSDADVIKYGRLLVDKGAQSVIVSLGGDGAIYIDKEISIKAVNPQGKVVNTVGSGDSTVAGMVAGIASGLSIEKAFQQAVACGTATAFDEDLATRDAIEKIKSQVTISVLDGE | [
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contact_prediction_binary_train_13 | CTCVPPHPQTAFCNSDLVIRAKFVQTTLYQRYEIKMTKMYKGFIRFVYTPAMESVCGYFHRSHNRSEEFLIAGKLQDGLLHITTCSFVAPWNSLSLAQRRGFTKTYTVGCEECTVFPCLSIPCKLQSGTHCLWTDQLLQGSEKGFQSRHLACLPREPGLCTWQS | [
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contact_prediction_binary_train_14 | RIRLTKDGRCIITCKTVEVYADESMTVDTPRTTFTGDVEIQKGLGVKGKSQFDSNITAPDAIINGKSTDKH | [
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End of preview. Expand in Data Studio
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
contact_prediction_binary
Sourced from biomap-research/contact_prediction_binary and prepared for Hugging Face datasets usage.
Intended use
Sparse residue-pair contacts for protein contact-map prediction.
Provenance
Card generated (UTC):
2026-10-07Upstream revision: unpinned (default branch; pin
source_revisionto a commit to reproduce the input).Upstream dataset card: https://huggingface.co/datasets/biomap-research/contact_prediction_binary/blob/main/README.md (label definitions, license, citation).
Data files
Processed parquet files are stored under data/ using Hugging Face split naming conventions (train-*, validation-*, test-*).
Dataset statistics: stats.json at the dataset root. It includes row counts by split, columns, and SeqKit sequence-length metrics.
Preparation
- Preprocess mode:
minimal. - Seed:
1957723. - No max sequence length filter was applied.
- Duplicate sequences were removed within and across canonical
train/validation/testsplits using the trimmed amino acid sequence. A sequence shared across splits is kept intestfirst, thenvalidation, and removed fromtrain; within a split the first row is kept. - Renamed source columns:
label->targets,seq->sequence. - Columns:
id,sequence,targets,split. - Validation handling: downloaded source split was preserved.
- Split subsets: canonical
train/validation/testretain source assignments except any synthesized validation; alternate views aretest_cluster,test_random,train_cluster,train_random,validation_cluster,validation_random, generated with seed1957723from pooled canonical rows. They repartition the same 15051 canonical rows, not additional examples.
Sequence clustering
Configured settings for MMseqs2 cluster-based assignment, used when that path runs:
- MMseqs workflow:
easy-cluster - Minimum sequence identity (
--min-seq-id):0.3 - Minimum coverage (
-c):0.8 - Coverage mode (
--cov-mode):1 - Threads:
1 - Other MMseqs2 options use MMseqs2 defaults.
- Seed (cluster ordering / tie-breaking):
1957723
Split sizes
test: 1505 rowstest_cluster: 1505 rowstest_random: 1505 rowstrain: 12041 rowstrain_cluster: 12041 rowstrain_random: 12041 rowsvalidation: 1505 rowsvalidation_cluster: 1505 rowsvalidation_random: 1505 rows
Loading
from datasets import load_dataset
ds = load_dataset("flair-bio/biomap-research-contact_prediction_binary")
print(ds)
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