iahlt/he-universal_morphologies
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--- dataset_info: features: - name: lemma dtype: string - name: forms sequence: - name: word dtype: string - name: Aktionsart sequence: class_label: names: '0': STAT '1': DYN '2': TEL '3': ATEL '4': PCT '5': DUR '6': ACH '7': ACCMP '8': SEMEL '9': ACTY - name: Animacy sequence: class_label: names: '0': ANIM '1': INAN '2': HUM '3': NHUM - name: Argument_Marking sequence: class_label: names: '0': ARGNO1S '1': ARGNO2S '2': ARGNO3S '3': ARGNO1P '4': ARGNO2P '5': ARGNO3P '6': ARGAC1S '7': ARGAC2S '8': ARGAC3S '9': ARGAC1P '10': ARGAC2P '11': ARGAC3P '12': ARGAB1S '13': ARGAB2S '14': ARGAB3S '15': ARGAB1P '16': ARGAB2P '17': ARGAB3P '18': ARGER1S '19': ARGER2S '20': ARGER3S '21': ARGER1P '22': ARGER2P '23': ARGER3P '24': ARGDA1S '25': ARGDA2S '26': ARGDA3S '27': ARGDA1P '28': ARGDA2P '29': ARGDA3P '30': ARGBE1S '31': ARGBE2S '32': ARGBE3S '33': ARGBE1P '34': ARGBE2P '35': ARGBE3P - name: Aspect sequence: class_label: names: '0': IPFV '1': PFV '2': PRF '3': PROG '4': PROSP '5': ITER '6': HAB - name: Case sequence: class_label: names: '0': NOM '1': ACC '2': ERG '3': ABS '4': NOMS '5': DAT '6': BEN '7': PRP '8': GEN '9': REL '10': PRT '11': INS '12': COM '13': VOC '14': COMPV '15': EQTV '16': PRIV '17': PROPR '18': AVR '19': FRML '20': TRANS '21': BYWAY '22': INTER '23': AT '24': POST '25': IN '26': CIRC '27': ANTE '28': APUD '29': 'ON' '30': ONHR '31': ONVR '32': SUB '33': REM '34': PROXM '35': ESS '36': ALL '37': ABL '38': APPRX '39': TERM - name: Comparison sequence: class_label: names: '0': CMPR '1': SPRL '2': AB '3': RL '4': EQT - name: Definiteness sequence: class_label: names: '0': DEF '1': INDF '2': SPEC '3': NSPEC - name: Deixis sequence: class_label: names: '0': PROX '1': MED '2': REMT '3': REF1 '4': REF2 '5': NOREF '6': PHOR '7': VIS '8': NVIS '9': ABV '10': EVEN '11': BEL - name: Evidentiality sequence: class_label: names: '0': FH '1': DRCT '2': SEN '3': VISU '4': NVSEN '5': AUD '6': NFH '7': QUOT '8': RPRT '9': HRSY '10': INFER '11': ASSUM - name: Finiteness sequence: class_label: names: '0': FIN '1': NFIN - name: Gender sequence: class_label: names: '0': MASC '1': FEM '2': NEUT '3': NAKH1 '4': NAKH2 '5': NAKH3 '6': NAKH4 '7': NAKH5 '8': NAKH6 '9': NAKH7 '10': NAKH8 '11': BANTU1 '12': BANTU2 '13': BANTU3 '14': BANTU4 '15': BANTU5 '16': BANTU6 '17': BANTU7 '18': BANTU8 '19': BANTU9 '20': BANTU10 '21': BANTU11 '22': BANTU12 '23': BANTU13 '24': BANTU14 '25': BANTU15 '26': BANTU16 '27': BANTU17 '28': BANTU18 '29': BANTU19 '30': BANTU20 '31': BANTU21 '32': BANTU22 '33': BANTU23 - name: Information_Structure sequence: class_label: names: '0': TOP '1': FOC - name: Interrogativity sequence: class_label: names: '0': DECL '1': INT - name: Language_Specific sequence: class_label: names: '0': LGSPEC1 '1': LGSPEC2 '2': LGSPEC3 '3': LGSPEC4 '4': LGSPEC5 '5': LGSPEC6 '6': LGSPEC7 '7': LGSPEC8 '8': LGSPEC9 '9': LGSPEC10 - name: Mood sequence: class_label: names: '0': IND '1': SBJV '2': REAL '3': IRR '4': AUPRP '5': AUNPRP '6': IMP '7': COND '8': PURP '9': INTEN '10': POT '11': LKLY '12': ADM '13': OBLIG '14': DEB '15': PERM '16': DED '17': SIM '18': OPT - name: Number sequence: class_label: names: '0': SG '1': PL '2': GRPL '3': DU '4': TRI '5': PAUC '6': GRPAUC '7': INVN - name: Part_Of_Speech sequence: class_label: names: '0': 'N' '1': PROPN '2': ADJ '3': PRO '4': CLF '5': ART '6': DET '7': V '8': ADV '9': AUX '10': V.PTCP '11': V.MSDR '12': V.CVB '13': ADP '14': COMP '15': CONJ '16': NUM '17': PART '18': INTJ - name: Person sequence: class_label: names: '0': '0' '1': '1' '2': '2' '3': '3' '4': '4' '5': INCL '6': EXCL '7': PRX '8': OBV - name: Polarity sequence: class_label: names: '0': POS '1': NEG - name: Politeness sequence: class_label: names: '0': INFM '1': FORM '2': ELEV '3': HUMB '4': POL '5': AVOID '6': LOW '7': HIGH '8': STELEV '9': STSUPR '10': LIT '11': FOREG '12': COL - name: Possession sequence: class_label: names: '0': ALN '1': NALN '2': PSS1S '3': PSS2S '4': PSS2SF '5': PSS2SM '6': PSS2SINFM '7': PSS2SFORM '8': PSS3S '9': PSS3SF '10': PSS3SM '11': PSS1D '12': PSS1DI '13': PSS1DE '14': PSS2D '15': PSS2DM '16': PSS2DF '17': PSS3D '18': PSS3DF '19': PSS3DM '20': PSS1P '21': PSS1PI '22': PSS1PE '23': PSS2P '24': PSS2PF '25': PSS2PM '26': PSS3PF '27': PSS3PM - name: Switch_Reference sequence: class_label: names: '0': SS '1': SSADV '2': DS '3': DSADV '4': OR '5': SIMMA '6': SEQMA '7': LOG - name: Tense sequence: class_label: names: '0': PRS '1': PST '2': FUT '3': IMMED '4': HOD '5': 1DAY '6': RCT '7': RMT - name: Valency sequence: class_label: names: '0': IMPRS '1': INTR '2': TR '3': DITR '4': REFL '5': RECP '6': CAUS '7': APPL - name: Voice sequence: class_label: names: '0': ACT '1': MID '2': PASS '3': ANTIP '4': DIR '5': INV '6': AGFOC '7': PFOC '8': LFOC '9': BFOC '10': ACFOC '11': IFOC '12': CFOC - name: Other sequence: string splits: - name: train num_bytes: 5258481 num_examples: 1176 download_size: 302856 dataset_size: 5258481 configs: - config_name: default data_files: - split: train path: data/train-* language: - he ---
数据集概述
数据特征
数据集包含以下特征:
- lemma: 类型为字符串。
- forms: 包含以下序列:
- word: 类型为字符串。
- Aktionsart: 包含以下类别标签:
- 0: STAT
- 1: DYN
- 2: TEL
- 3: ATEL
- 4: PCT
- 5: DUR
- 6: ACH
- 7: ACCMP
- 8: SEMEL
- 9: ACTY
- Animacy: 包含以下类别标签:
- 0: ANIM
- 1: INAN
- 2: HUM
- 3: NHUM
- Argument_Marking: 包含以下类别标签:
- 0: ARGNO1S
- 1: ARGNO2S
- 2: ARGNO3S
- 3: ARGNO1P
- 4: ARGNO2P
- 5: ARGNO3P
- 6: ARGAC1S
- 7: ARGAC2S
- 8: ARGAC3S
- 9: ARGAC1P
- 10: ARGAC2P
- 11: ARGAC3P
- 12: ARGAB1S
- 13: ARGAB2S
- 14: ARGAB3S
- 15: ARGAB1P
- 16: ARGAB2P
- 17: ARGAB3P
- 18: ARGER1S
- 19: ARGER2S
- 20: ARGER3S
- 21: ARGER1P
- 22: ARGER2P
- 23: ARGER3P
- 24: ARGDA1S
- 25: ARGDA2S
- 26: ARGDA3S
- 27: ARGDA1P
- 28: ARGDA2P
- 29: ARGDA3P
- 30: ARGBE1S
- 31: ARGBE2S
- 32: ARGBE3S
- 33: ARGBE1P
- 34: ARGBE2P
- 35: ARGBE3P
- Aspect: 包含以下类别标签:
- 0: IPFV
- 1: PFV
- 2: PRF
- 3: PROG
- 4: PROSP
- 5: ITER
- 6: HAB
- Case: 包含以下类别标签:
- 0: NOM
- 1: ACC
- 2: ERG
- 3: ABS
- 4: NOMS
- 5: DAT
- 6: BEN
- 7: PRP
- 8: GEN
- 9: REL
- 10: PRT
- 11: INS
- 12: COM
- 13: VOC
- 14: COMPV
- 15: EQTV
- 16: PRIV
- 17: PROPR
- 18: AVR
- 19: FRML
- 20: TRANS
- 21: BYWAY
- 22: INTER
- 23: AT
- 24: POST
- 25: IN
- 26: CIRC
- 27: ANTE
- 28: APUD
- 29: ON
- 30: ONHR
- 31: ONVR
- 32: SUB
- 33: REM
- 34: PROXM
- 35: ESS
- 36: ALL
- 37: ABL
- 38: APPRX
- 39: TERM
- Comparison: 包含以下类别标签:
- 0: CMPR
- 1: SPRL
- 2: AB
- 3: RL
- 4: EQT
- Definiteness: 包含以下类别标签:
- 0: DEF
- 1: INDF
- 2: SPEC
- 3: NSPEC
- Deixis: 包含以下类别标签:
- 0: PROX
- 1: MED
- 2: REMT
- 3: REF1
- 4: REF2
- 5: NOREF
- 6: PHOR
- 7: VIS
- 8: NVIS
- 9: ABV
- 10: EVEN
- 11: BEL
- Evidentiality: 包含以下类别标签:
- 0: FH
- 1: DRCT
- 2: SEN
- 3: VISU
- 4: NVSEN
- 5: AUD
- 6: NFH
- 7: QUOT
- 8: RPRT
- 9: HRSY
- 10: INFER
- 11: ASSUM
- Finiteness: 包含以下类别标签:
- 0: FIN
- 1: NFIN
- Gender: 包含以下类别标签:
- 0: MASC
- 1: FEM
- 2: NEUT
- 3: NAKH1
- 4: NAKH2
- 5: NAKH3
- 6: NAKH4
- 7: NAKH5
- 8: NAKH6
- 9: NAKH7
- 10: NAKH8
- 11: BANTU1
- 12: BANTU2
- 13: BANTU3
- 14: BANTU4
- 15: BANTU5
- 16: BANTU6
- 17: BANTU7
- 18: BANTU8
- 19: BANTU9
- 20: BANTU10
- 21: BANTU11
- 22: BANTU12
- 23: BANTU13
- 24: BANTU14
- 25: BANTU15
- 26: BANTU16
- 27: BANTU17
- 28: BANTU18
- 29: BANTU19
- 30: BANTU20
- 31: BANTU21
- 32: BANTU22
- 33: BANTU23
- Information_Structure: 包含以下类别标签:
- 0: TOP
- 1: FOC
- Interrogativity: 包含以下类别标签:
- 0: DECL
- 1: INT
- Language_Specific: 包含以下类别标签:
- 0: LGSPEC1
- 1: LGSPEC2
- 2: LGSPEC3
- 3: LGSPEC4
- 4: LGSPEC5
- 5: LGSPEC6
- 6: LGSPEC7
- 7: LGSPEC8
- 8: LGSPEC9
- 9: LGSPEC10
- Mood: 包含以下类别标签:
- 0: IND
- 1: SBJV
- 2: REAL
- 3: IRR
- 4: AUPRP
- 5: AUNPRP
- 6: IMP
- 7: COND
- 8: PURP
- 9: INTEN
- 10: POT
- 11: LKLY
- 12: ADM
- 13: OBLIG
- 14: DEB
- 15: PERM
- 16: DED
- 17: SIM
- 18: OPT
- Number: 包含以下类别标签:
- 0: SG
- 1: PL
- 2: GRPL
- 3: DU
- 4: TRI
- 5: PAUC
- 6: GRPAUC
- 7: INVN
- Part_Of_Speech: 包含以下类别标签:
- 0: N
- 1: PROPN
- 2: ADJ
- 3: PRO
- 4: CLF
- 5: ART
- 6: DET
- 7: V
- 8: ADV
- 9: AUX
- 10: V.PTCP
- 11: V.MSDR
- 12: V.CVB
- 13: ADP
- 14: COMP
- 15: CONJ
- 16: NUM
- 17: PART
- 18: INTJ
- Person: 包含以下类别标签:
- 0: 0
- 1: 1
- 2: 2
- 3: 3
- 4: 4
- 5: INCL
- 6: EXCL
- 7: PRX
- 8: OBV
- Polarity: 包含以下类别标签:
- 0: POS
- 1: NEG
- Politeness: 包含以下类别标签:
- 0: INFM
- 1: FORM
- 2: ELEV
- 3: HUMB
- 4: POL
- 5: AVOID
- 6: LOW
- 7: HIGH
- 8: STELEV
- 9: STSUPR
- 10: LIT
- 11: FOREG
- 12: COL
- Possession: 包含以下类别标签:
- 0: ALN
- 1: NALN
- 2: PSS1S
- 3: PSS2S
- 4: PSS2SF
- 5: PSS2SM
- 6: PSS2SINFM
- 7: PSS2SFORM
- 8: PSS3S
- 9: PSS3SF
- 10: PSS3SM
- 11: PSS1D
- 12: PSS1DI
- 13: PSS1DE
- 14: PSS2D
- 15: PSS2DM
- 16: PSS2DF
- 17: PSS3D
- 18: PSS3DF
- 19: PSS3DM
- 20: PSS1P
- 21: PSS1PI
- 22: PSS1PE
- 23: PSS2P
- 24: PSS2PF
- 25: PSS2PM
- 26: PSS3PF
- 27: PSS3PM
- Switch_Reference: 包含以下类别标签:
- 0: SS
- 1: SSADV
- 2: DS
- 3: DSADV
- 4: OR
- 5: SIMMA
- 6: SEQMA
- 7: LOG
- Tense: 包含以下类别标签:
- 0: PRS
- 1: PST
- 2: FUT
- 3: IMMED
- 4: HOD
- 5: 1DAY
- 6: RCT
- 7: RMT
- Valency: 包含以下类别标签:
- 0: IMPRS
- 1: INTR
- 2: TR
- 3: DITR
- 4: REFL
- 5: RECP
- 6: CAUS
- 7: APPL
- Voice: 包含以下类别标签:
- 0: ACT
- 1: MID
- 2: PASS
- 3: ANTIP
- 4: DIR
- 5: INV
- 6: AGFOC
- 7: PFOC
- 8: LFOC
- 9: BFOC
- 10: ACFOC
- 11: IFOC
- 12: CFOC
- Other: 类型为字符串。
数据分割
数据集包含以下分割:
- train: 包含1176个样本,占用5258481字节。
数据集大小
- 下载大小: 302856字节
- 数据集大小: 5258481字节
配置
- config_name: default
- data_files:
- split: train
- path: data/train-*
- split: train
- data_files:
语言
- 数据集支持的语言: 希伯来语 (he)



