Text2Text Generation
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  ---
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  license: apache-2.0
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  datasets:
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- - akoksal/muri-it
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-
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  language:
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- - afr
8
- - amh
9
- - ara
10
- - aze
11
- - bel
12
- - ben
13
- - bul
14
- - cat
15
- - ceb
16
- - ces
17
- - cos
18
- - cym
19
- - dan
20
- - deu
21
- - ell
22
- - eng
23
- - epo
24
- - est
25
- - eus
26
- - fas
27
- - fin
28
- - fra
29
- - fry
30
- - gla
31
- - gle
32
- - glg
33
- - guj
34
- - hat
35
- - hau
36
- - haw
37
- - hbs
38
- - heb
39
- - hin
40
- - hun
41
- - hye
42
- - ibo
43
- - isl
44
- - ita
45
- - jav
46
- - jpn
47
- - kan
48
- - kat
49
- - kaz
50
- - khm
51
- - kir
52
- - kor
53
- - kur
54
- - lao
55
- - lat
56
- - lav
57
- - lit
58
- - ltz
59
- - mal
60
- - mar
61
- - mkd
62
- - mlg
63
- - mlt
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- - mon
65
- - mri
66
- - msa
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- - msa
68
- - mya
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- - nep
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- - nld
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- - nor
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- - nya
73
- - pan
74
- - pol
75
- - por
76
- - pus
77
- - ron
78
- - rus
79
- - sin
80
- - slk
81
- - slv
82
- - smo
83
- - sna
84
- - snd
85
- - som
86
- - sot
87
- - spa
88
- - sqi
89
- - sun
90
- - swa
91
- - swe
92
- - tam
93
- - tel
94
- - tgk
95
- - tha
96
- - tur
97
- - ukr
98
- - urd
99
- - uzb
100
- - vie
101
- - xho
102
- - yid
103
- - yor
104
- - zho
105
- - zul
 
 
 
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  ---
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  # MURI-101: Multilingual Instruction-Following Model for 101 languages (mT5-XXL)
@@ -196,4 +198,4 @@ Thanks to [Google's TRC program](https://sites.research.google/trc/about/) for s
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  Check out [the paper](soon) for more detailed information on the experiments and results.
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  ## Citation
199
- [PLACEHOLDER]
 
1
  ---
2
  license: apache-2.0
3
  datasets:
4
+ - akoksal/muri-it
 
5
  language:
6
+ - afr
7
+ - amh
8
+ - ara
9
+ - aze
10
+ - bel
11
+ - ben
12
+ - bul
13
+ - cat
14
+ - ceb
15
+ - ces
16
+ - cos
17
+ - cym
18
+ - dan
19
+ - deu
20
+ - ell
21
+ - eng
22
+ - epo
23
+ - est
24
+ - eus
25
+ - fas
26
+ - fin
27
+ - fra
28
+ - fry
29
+ - gla
30
+ - gle
31
+ - glg
32
+ - guj
33
+ - hat
34
+ - hau
35
+ - haw
36
+ - hbs
37
+ - heb
38
+ - hin
39
+ - hun
40
+ - hye
41
+ - ibo
42
+ - isl
43
+ - ita
44
+ - jav
45
+ - jpn
46
+ - kan
47
+ - kat
48
+ - kaz
49
+ - khm
50
+ - kir
51
+ - kor
52
+ - kur
53
+ - lao
54
+ - lat
55
+ - lav
56
+ - lit
57
+ - ltz
58
+ - mal
59
+ - mar
60
+ - mkd
61
+ - mlg
62
+ - mlt
63
+ - mon
64
+ - mri
65
+ - msa
66
+ - msa
67
+ - mya
68
+ - nep
69
+ - nld
70
+ - nor
71
+ - nya
72
+ - pan
73
+ - pol
74
+ - por
75
+ - pus
76
+ - ron
77
+ - rus
78
+ - sin
79
+ - slk
80
+ - slv
81
+ - smo
82
+ - sna
83
+ - snd
84
+ - som
85
+ - sot
86
+ - spa
87
+ - sqi
88
+ - sun
89
+ - swa
90
+ - swe
91
+ - tam
92
+ - tel
93
+ - tgk
94
+ - tha
95
+ - tur
96
+ - ukr
97
+ - urd
98
+ - uzb
99
+ - vie
100
+ - xho
101
+ - yid
102
+ - yor
103
+ - zho
104
+ - zul
105
+ base_model:
106
+ - google/mt5-xxl
107
+ pipeline_tag: text2text-generation
108
  ---
109
 
110
  # MURI-101: Multilingual Instruction-Following Model for 101 languages (mT5-XXL)
 
198
  Check out [the paper](soon) for more detailed information on the experiments and results.
199
 
200
  ## Citation
201
+ [PLACEHOLDER]