Syoy/preprocessed_birdclef_2023_train

---
dataset_info:
features:
- name: primary_label
dtype:
class_label:
names:
'0': yetgre1
'1': moccha1
'2': rostur1
'3': walsta1
'4': ratcis1
'5': norfis1
'6': macshr1
'7': brrwhe3
'8': crefra2
'9': pabspa1
'10': sltnig1
'11': cabgre1
'12': equaka1
'13': sobfly1
'14': rindov
'15': wlwwar
'16': brwwar1
'17': gnbcam2
'18': carcha1
'19': abethr1
'20': yertin1
'21': spewea1
'22': varsun2
'23': yebduc1
'24': eubeat1
'25': hadibi1
'26': brcale1
'27': litwea1
'28': sincis1
'29': whbcro2
'30': thrnig1
'31': bubwar2
'32': kvbsun1
'33': blbpuf2
'34': blakit1
'35': colsun2
'36': bltapa1
'37': gycwar3
'38': joygre1
'39': greegr
'40': vibsta2
'41': wtbeat1
'42': afrgos1
'43': rebfir2
'44': yebgre1
'45': comsan
'46': pygbat1
'47': meypar1
'48': yelbis1
'49': norbro1
'50': ndcsun2
'51': gybfis1
'52': reftin1
'53': brobab1
'54': refwar2
'55': norcro1
'56': yebapa1
'57': yewgre1
'58': palfly2
'59': gargan
'60': darter3
'61': rerswa1
'62': augbuz1
'63': gyhbus1
'64': refcro1
'65': witswa1
'66': gryapa1
'67': pitwhy
'68': eaywag1
'69': blhgon1
'70': yebsto1
'71': hipbab1
'72': whcpri2
'73': spemou2
'74': gobsta5
'75': blksaw1
'76': afecuc1
'77': spepig1
'78': mabeat1
'79': rewsta1
'80': rebhor1
'81': brtcha1
'82': blacuc1
'83': brican1
'84': rehblu1
'85': gobbun1
'86': supsta1
'87': bkfruw1
'88': litswi1
'89': spmthr1
'90': spwlap1
'91': quailf1
'92': golher1
'93': didcuc1
'94': gytbar1
'95': klacuc1
'96': afbfly1
'97': brcsta1
'98': bawhor2
'99': whihel1
'100': yespet1
'101': dotbar1
'102': luebus1
'103': yeccan1
'104': tafpri1
'105': chespa1
'106': blacra1
'107': scthon1
'108': whbcou1
'109': ccbeat1
'110': libeat1
'111': whctur2
'112': butapa1
'113': norpuf1
'114': blwlap1
'115': afmdov1
'116': hartur1
'117': beasun2
'118': vimwea1
'119': squher1
'120': yebbar1
'121': bltori1
'122': sccsun2
'123': piecro1
'124': chibat1
'125': marsto1
'126': afpfly1
'127': bcbeat1
'128': wbswea1
'129': yebere1
'130': rbsrob1
'131': brcwea1
'132': bswdov1
'133': kerspa2
'134': slcbou1
'135': fislov1
'136': cohmar1
'137': lesmaw1
'138': cibwar1
'139': woosan
'140': shesta1
'141': reccor
'142': gnhsun1
'143': chucis1
'144': fatrav1
'145': slbgre1
'146': afghor1
'147': afrjac1
'148': abhori1
'149': wbgbir1
'150': subbus1
'151': bawman1
'152': whrshr1
'153': hoopoe
'154': lessts1
'155': rocmar2
'156': lotlap1
'157': tamdov1
'158': rufcha2
'159': palpri1
'160': reboxp1
'161': chewea1
'162': malkin1
'163': vilwea1
'164': reccuc1
'165': bltbar1
'166': trobou1
'167': abythr1
'168': broman1
'169': easmog1
'170': spfbar1
'171': afpwag1
'172': refbar2
'173': strher
'174': whhsaw1
'175': grbcam1
'176': sichor1
'177': crheag1
'178': wookin1
'179': helgui
'180': strsee1
'181': chtapa3
'182': grccra1
'183': brubru1
'184': wbrcha2
'185': bkctch1
'186': yesbar1
'187': scrcha1
'188': affeag1
'189': grwpyt1
'190': whbtit5
'191': spfwea1
'192': brosun1
'193': combuz1
'194': tacsun1
'195': darbar1
'196': grewoo2
'197': purgre2
'198': grecor
'199': whbcan1
'200': afrgrp1
'201': mouwag1
'202': bagwea1
'203': eswdov1
'204': blfbus1
'205': soucit1
'206': blnmou1
'207': gbesta1
'208': whbwhe3
'209': somgre1
'210': afrthr1
'211': carwoo1
'212': yenspu1
'213': gobwea1
'214': wfbeat1
'215': blnwea1
'216': soufis1
'217': hunsun2
'218': nobfly1
'219': gyhkin1
'220': nubwoo1
'221': afpkin1
'222': marsun2
'223': gabgos2
'224': yefcan
'225': btweye2
'226': huncis1
'227': raybar1
'228': dutdov1
'229': gyhneg1
'230': stusta1
'231': wheslf1
'232': somtit4
'233': mcptit1
'234': whbwea1
'235': lawgol
'236': combul2
'237': gyhspa1
'238': ruegls1
'239': fotdro5
'240': afdfly1
'241': sacibi2
'242': hamerk1
'243': piekin1
'244': afgfly1
'245': reisee2
'246': amesun2
'247': laudov1
'248': grywrw1
'249': blhher1
'250': loceag1
'251': crohor1
'252': lotcor1
'253': brctch1
'254': barswa
'255': categr
'256': reedov1
'257': blaplo1
'258': litegr
'259': egygoo
'260': rehwea1
'261': fatwid1
'262': blcapa2
'263': edcsun3
- name: secondary_labels
dtype: string
- name: input_values
sequence:
sequence: float32
splits:
- name: train
num_bytes: 8951693048
num_examples: 16941
download_size: 8380125082
dataset_size: 8951693048
---
# Dataset Card for "preprocessed_birdclef_2023_train"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

原始信息汇总

数据集概述

数据集名称

• 名称: preprocessed_birdclef_2023_train

数据集特征

• primary_label: 分类标签，包含256个类别，每个类别对应一个唯一的名称。
• secondary_labels: 数据类型为字符串。
• input_values: 数据类型为浮点数，以序列形式存储。

数据集分割

• train:
  • 大小: 8951693048字节
  • 示例数量: 16941

下载信息

• 下载大小: 8380125082字节
• 数据集大小: 8951693048字节