Datasets:
nkasmanoff
/
huggingface-datasets

Dataset card Data Studio Files Community
id
stringlengths
2
115
private
bool
1 class
tags
sequence
description
stringlengths
0
5.93k
⌀
downloads
int64
0
1.14M
likes
int64
0
1.79k
marasama/nva-ajaxV2
false
[]
null
0
0
koiuyut/hujio
false
[]
null
0
0
koiuyut/aweras
false
[]
null
0
0
jyanyu/nva-miho
false
[]
null
0
0
charsiu/librispeech_MFA_alignments
false
[]
null
0
0
sewaqoiz/huhai
false
[]
null
0
0
carnival13/nq_fid
false
[]
null
17
0
wedoi/uhera
false
[]
null
0
0
qesza/polkiu
false
[]
null
0
0
moipo/uyrea
false
[]
null
0
0
deepsite/Form
false
[]
null
0
0
ranWang/un_pdf_data_urls_set
false
[]
null
6
0
naver-clova-conversation-ul/keyword-sum-no-none
false
[]
null
6
0
hnmensah/SL-base
false
[ "license:cc-by-4.0" ]
null
0
0
nguyenminh871/java_unifiedbug
false
[]
null
28
0
BramVanroy/alpaca-cleaned-dutch
false
[ "task_categories:question-answering", "task_categories:text-generation", "size_categories:10K<n<100K", "language:nl", "license:cc-by-nc-4.0", "alpaca", "chat", "doi:10.57967/hf/0530" ]
null
2
0
pantunjanda/TvPlay
false
[]
null
0
0
OpikUmis/Justwatcb01
false
[]
null
0
0
xiaojuan0920/cskg_2
false
[ "license:openrail" ]
CSKG is a commonsense knowledge graph that combines seven popular sources into a consolidated representation: ATOMIC, ConceptNet, FrameNet, Roget, Visual Genome, Wikidata (We use the Wikidata-CS subset), and WordNet. CSKG is represented as a hyper-relational graph, by using the KGTK data model and file specification. Its creation is entirely supported by KGTK operations.
4
0
ArielPokalis/TrovaCinema
false
[]
null
0
0
BramVanroy/alpaca-cleaned-dutch-baize
false
[ "task_categories:question-answering", "task_categories:text-generation", "size_categories:10K<n<100K", "language:nl", "license:cc-by-nc-4.0", "alpaca", "chat" ]
null
0
0
Riksarkivet/cleaned_Diachronic_swe
false
[]
null
20
0
Phoebechen123/cifar10c_snow
false
[]
null
8
0
7eu7d7/HCP-Diffusion-datas
false
[ "license:apache-2.0" ]
null
0
2
cvssp/WavCaps
false
[ "language:en", "license:cc-by-4.0", "arxiv:2303.17395" ]
null
0
1
nikiepoulard/PelicanCBD
false
[]
null
0
0
LingoTransformer/test
false
[ "license:openrail" ]
null
0
0
crangana/railroad-fault-detection
false
[]
null
1
0
Plachta/OCID_grasp
false
[]
null
0
0
mstz/car
false
[ "task_categories:tabular-classification", "size_categories:n<1K", "language:en", "license:cc", "car", "tabular_classification", "binary_classification", "UCI" ]
null
8
0
mstz/contraceptive
false
[ "task_categories:tabular-classification", "size_categories:1K<n<10K", "language:en", "license:cc", "contraceptive", "tabular_classification", "binary_classification", "UCI" ]
null
2
0
JoeJYu/test
false
[]
null
0
0
JoeJYu/sexismDetection
false
[]
null
14
0
fizisenangg/VOSTFR-TV
false
[]
null
0
0
YANTIPESEK/Donjons-Dragons
false
[]
null
0
0
one-sec-cv12/chunk_188
false
[]
null
0
0
Zerenidel/lldllind0
false
[]
null
0
0
ketoxplode/KetoXplodeGummies
false
[]
null
0
0
thewall/jolma_split
false
[ "license:openrail" ]
PRJEB3289 https://www.ebi.ac.uk/ena/browser/view/PRJEB3289 Data that has been generated by HT-SELEX experiments (see Jolma et al. 2010. PMID: 20378718 for description of method) that has been now used to generate transcription factor binding specificity models for most of the high confidence human transcription factors. Sequence data is composed of reads generated with Illumina Genome Analyzer IIX and HiSeq2000 instruments. Samples are composed of single read sequencing of synthetic DNA fragments with a fixed length randomized region or samples derived from such a initial library by selection with a sequence specific DNA binding protein. Originally multiple samples with different "barcode" tag sequences were run on the same Illumina sequencing lane but the released files have been already de-multiplexed, and the constant regions and "barcodes" of each sequence have been cut out of the sequencing reads to facilitate the use of data. Some of the files are composed of reads from multiple different sequencing lanes and due to this each of the names of the individual reads have been edited to show the flowcell and lane that was used to generate it. Barcodes and oligonucleotide designs are indicated in the names of individual entries. Depending of the selection ligand design, the sequences in each of these fastq-files are either 14, 20, 30 or 40 bases long and had different flanking regions in both sides of the sequence. Each run entry is named in either of the following ways: Example 1) "BCL6B_DBD_AC_TGCGGG20NGA_1", where name is composed of following fields ProteinName_CloneType_Batch_BarcodeDesign_SelectionCycle. This experiment used barcode ligand TGCGGG20NGA, where both of the variable flanking constant regions are indicated as they were on the original sequence-reads. This ligand has been selected for one round of HT-SELEX using recombinant protein that contained the DNA binding domain of human transcription factor BCL6B. It also tells that the experiment was performed on batch of experiments named as "AC". Example 2) 0_TGCGGG20NGA_0 where name is composed of (zero)_BarcodeDesign_(zero) These sequences have been generated from sequencing of the initial non-selected pool. Same initial pools have been used in multiple experiments that were on different batches, thus for example this background sequence pool is the shared background for all of the following samples. BCL6B_DBD_AC_TGCGGG20NGA_1, ZNF784_full_AE_TGCGGG20NGA_3, DLX6_DBD_Y_TGCGGG20NGA_4 and MSX2_DBD_W_TGCGGG20NGA_2
0
0
zirui3/TSSB-3M-instructions
false
[ "license:cc-by-4.0" ]
null
0
0
one-sec-cv12/chunk_202
false
[]
null
0
0
samhog/psychology-TEST
false
[]
null
5
0
Circularmachines/Batch_indexing_machine_pred_csv
false
[ "license:cc-by-4.0" ]
null
0
0
one-sec-cv12/chunk_209
false
[]
null
0
0
yiqing07/data
false
[ "license:apache-2.0" ]
null
0
0
mstz/glass
false
[ "task_categories:tabular-classification", "size_categories:n<1k", "language:en", "license:cc", "glass", "tabular_classification", "binary_classification", "UCI" ]
null
25
0
ketoxplode/KetoxplodeGummiesKopen
false
[]
null
0
0
mfromm/AMSR
false
[ "task_categories:text-classification", "size_categories:1K<n<10K", "language:en", "license:openrail", "argument-mining", "argument-identification" ]
null
0
0
one-sec-cv12/chunk_199
false
[]
null
0
0
mstz/hayes_roth
false
[ "task_categories:tabular-classification", "size_categories:n<1K", "language:en", "license:cc", "hayes", "tabular_classification", "binary_classification", "multiclass_classification", "UCI" ]
null
10
0
mstz/iris
false
[ "task_categories:tabular-classification", "size_categories:n<1k", "language:en", "license:cc", "iris", "tabular_classification", "binary_classification", "multiclass_classification", "UCI" ]
null
0
0
cortexifortinnitus/CortexiForTinnitus
false
[]
null
0
0
kotarodayo1126/nva-peach
false
[]
null
0
0
belladu0201/facedata
false
[]
null
3
0
mstz/lrs
false
[ "task_categories:tabular-classification", "size_categories:n<1k", "language:en", "license:cc", "lrs", "tabular_classification", "binary_classification", "multiclass_classification", "UCI" ]
null
25
0
pphuc25/iBioHash50k_3_balance_v2
false
[]
null
2
0
pelgueta/labourcode
false
[]
null
4
0
azarijafari/FarsTail
false
[ "arxiv:2009.08820" ]
null
0
0
magicoaprecio/MagicoaResenas
false
[]
null
0
0
one-sec-cv12/chunk_210
false
[]
null
0
0
jquave/e
false
[ "task_categories:text-generation", "task_categories:fill-mask", "task_ids:language-modeling", "task_ids:masked-language-modeling", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:monolingual", "size_categories:1M<n<10M", "source_datasets:original", "language:en" ]
An open-source replication of E
26
0
loubnabnl/odex-data
false
[]
null
1
0
snowlesswinter/test_data
false
[]
null
0
0
one-sec-cv12/chunk_198
false
[]
null
0
0
yuniv/sample2
false
[]
null
3
0
isarth/chatgpt-news-articles
false
[]
null
59
0
siddharthtumre/Revised-JNLPBA
false
[ "task_categories:token-classification", "task_ids:named-entity-recognition", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:10K<n<100K", "language:en", "license:unknown" ]
null
7
0
hf-convista-x-kdt-org/hf_convista_x_kdt_dataset
false
[]
null
16
1
shawarmas/Censored-Words
false
[]
null
0
0
yuan1729/voice_dataset
false
[]
null
89
0
tarou537/nva-horo
false
[]
null
0
0
one-sec-cv12/chunk_206
false
[]
null
0
0
ARTIFEAST/Wew
false
[]
null
0
0
DemangeJeremy/embedded_for_testing
false
[]
null
0
0
loubnabnl/multiple-preds-new
false
[]
null
2
0
MomoMLE/dkt-images
false
[ "license:mit" ]
null
12
0
senzaLimiti01/cinestart
false
[]
null
0
1
teachings/cb-002
false
[]
null
0
0
PadreGabriele/esorcista
false
[]
null
0
0
aggiornamento/mercoledi
false
[]
null
0
0
cinegurufr/borokokok
false
[]
null
0
0
JeesonKing/HuggingGPT_logs
false
[]
null
0
0
one-sec-cv12/chunk_211
false
[]
null
0
0
HuggingFace-CN-community/ipynb-view
false
[]
null
0
0
carlosdasi/dasi
false
[ "license:openrail" ]
null
0
0
P01son/instructions
false
[ "license:cc-by-4.0" ]
null
1
0
one-sec-cv12/chunk_212
false
[]
null
0
0
one-sec-cv12/chunk_214
false
[]
null
0
0
one-sec-cv12/chunk_205
false
[]
null
0
0
Mopieeskta/STREAMITAx
false
[]
null
0
0
play-now/streamingcommunity
false
[]
null
0
0
OllieStanley/oa_dolly_15k
false
[]
null
62
0
snipaid/snippet-mlsum-500
false
[ "task_categories:summarization", "task_categories:text2text-generation", "size_categories:n<1K", "language:de", "license:mit", "news", "headline", "teaser", "keywords", "tweet", "serp title-tag", "serp meta-description", "news snippets" ]
null
0
0
nayohan/yelp-quadruple
false
[]
null
0
0
kilog/LIZY
false
[]
null
0
0
italiza/Senza-limiti
false
[]
null
0
0
Italyo/Comunity-stremaming
false
[]
null
0
0
CaradryanLiang/CBLab_Dataset
false
[]
null
0
0
subrathalai/kunjumani
false
[]
null
0
0
P3ps/amazon-shoe-reviews
false
[]
null
14
0