File size: 5,615 Bytes
d15babf
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml -o requirements_dev.txt --extra dev
aiohappyeyeballs==2.6.1
    # via aiohttp
aiohttp==3.11.18
    # via
    #   datasets
    #   fsspec
aiolimiter==1.2.1
    # via languagebench (pyproject.toml)
aiosignal==1.3.2
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
anyio==4.9.0
    # via
    #   httpx
    #   openai
    #   starlette
async-timeout==5.0.1
    # via aiohttp
attrs==25.3.0
    # via aiohttp
bert-score==0.3.13
    # via languagebench (pyproject.toml)
certifi==2025.4.26
    # via
    #   httpcore
    #   httpx
    #   requests
charset-normalizer==3.4.2
    # via requests
click==8.1.8
    # via
    #   jiwer
    #   uvicorn
colorama==0.4.6
    # via sacrebleu
contourpy==1.3.2
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets==3.5.1
    # via evaluate
dill==0.3.8
    # via
    #   datasets
    #   evaluate
    #   multiprocess
distro==1.9.0
    # via openai
elevenlabs==1.57.0
    # via languagebench (pyproject.toml)
evaluate==0.4.0
    # via languagebench (pyproject.toml)
exceptiongroup==1.2.2
    # via anyio
fastapi==0.115.12
    # via languagebench (pyproject.toml)
filelock==3.18.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
    #   transformers
fonttools==4.57.0
    # via matplotlib
frozenlist==1.6.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2025.3.0
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   torch
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
httpcore==1.0.9
    # via httpx
httpx==0.28.1
    # via
    #   elevenlabs
    #   openai
huggingface-hub==0.30.2
    # via
    #   languagebench (pyproject.toml)
    #   datasets
    #   evaluate
    #   tokenizers
    #   transformers
idna==3.10
    # via
    #   anyio
    #   httpx
    #   requests
    #   yarl
jinja2==3.1.6
    # via torch
jiter==0.9.0
    # via openai
jiwer==3.1.0
    # via languagebench (pyproject.toml)
joblib==1.5.0
    # via languagebench (pyproject.toml)
kiwisolver==1.4.8
    # via matplotlib
langcodes==3.5.0
    # via languagebench (pyproject.toml)
language-data==1.3.0
    # via
    #   languagebench (pyproject.toml)
    #   langcodes
lxml==5.4.0
    # via sacrebleu
marisa-trie==1.2.1
    # via language-data
markdown-it-py==3.0.0
    # via rich
markupsafe==3.0.2
    # via jinja2
matplotlib==3.10.1
    # via bert-score
mdurl==0.1.2
    # via markdown-it-py
mpmath==1.3.0
    # via sympy
multidict==6.4.3
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via
    #   datasets
    #   evaluate
networkx==3.4.2
    # via torch
numpy==2.2.5
    # via
    #   languagebench (pyproject.toml)
    #   bert-score
    #   contourpy
    #   datasets
    #   evaluate
    #   matplotlib
    #   pandas
    #   sacrebleu
    #   transformers
openai==1.77.0
    # via languagebench (pyproject.toml)
packaging==25.0
    # via
    #   bert-score
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   matplotlib
    #   transformers
pandas==2.2.3
    # via
    #   languagebench (pyproject.toml)
    #   bert-score
    #   datasets
    #   evaluate
pillow==11.2.1
    # via matplotlib
portalocker==3.1.1
    # via sacrebleu
propcache==0.3.1
    # via
    #   aiohttp
    #   yarl
protobuf==6.30.2
    # via languagebench (pyproject.toml)
pyarrow==20.0.0
    # via datasets
pydantic==2.11.4
    # via
    #   elevenlabs
    #   fastapi
    #   openai
pydantic-core==2.33.2
    # via
    #   elevenlabs
    #   pydantic
pygments==2.19.1
    # via rich
pyparsing==3.2.3
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
python-dotenv==1.1.0
    # via languagebench (pyproject.toml)
pytz==2025.2
    # via pandas
pyyaml==6.0.2
    # via
    #   datasets
    #   huggingface-hub
    #   transformers
rapidfuzz==3.13.0
    # via jiwer
regex==2024.11.6
    # via
    #   sacrebleu
    #   tiktoken
    #   transformers
requests==2.32.3
    # via
    #   bert-score
    #   datasets
    #   elevenlabs
    #   evaluate
    #   huggingface-hub
    #   responses
    #   tiktoken
    #   transformers
responses==0.18.0
    # via evaluate
rich==14.0.0
    # via languagebench (pyproject.toml)
sacrebleu==2.5.1
    # via languagebench (pyproject.toml)
safetensors==0.5.3
    # via transformers
sentencepiece==0.2.0
    # via languagebench (pyproject.toml)
setuptools==80.3.1
    # via marisa-trie
six==1.17.0
    # via python-dateutil
sniffio==1.3.1
    # via
    #   anyio
    #   openai
starlette==0.46.2
    # via fastapi
sympy==1.14.0
    # via torch
tabulate==0.9.0
    # via sacrebleu
tiktoken==0.9.0
    # via languagebench (pyproject.toml)
tokenizers==0.21.1
    # via transformers
torch==2.7.0
    # via bert-score
tqdm==4.67.1
    # via
    #   languagebench (pyproject.toml)
    #   bert-score
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   openai
    #   transformers
transformers==4.51.3
    # via
    #   languagebench (pyproject.toml)
    #   bert-score
typing-extensions==4.13.2
    # via
    #   anyio
    #   elevenlabs
    #   fastapi
    #   huggingface-hub
    #   multidict
    #   openai
    #   pydantic
    #   pydantic-core
    #   rich
    #   torch
    #   typing-inspection
    #   uvicorn
typing-inspection==0.4.0
    # via pydantic
tzdata==2025.2
    # via pandas
urllib3==2.4.0
    # via
    #   requests
    #   responses
uvicorn==0.34.2
    # via languagebench (pyproject.toml)
websockets==15.0.1
    # via elevenlabs
xxhash==3.5.0
    # via
    #   datasets
    #   evaluate
yarl==1.20.0
    # via aiohttp