Upload tokenizer
Browse files- README.md +199 -0
- added_tokens.json +4 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +775 -0
- vocab.json +106 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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added_tokens.json
ADDED
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{
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"</s>": 105,
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"<s>": 104
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}
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special_tokens_map.json
ADDED
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "[PAD]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
ADDED
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "४९",
|
5 |
+
"lstrip": true,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": true,
|
8 |
+
"single_word": false,
|
9 |
+
"special": false
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "९४",
|
13 |
+
"lstrip": true,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": true,
|
16 |
+
"single_word": false,
|
17 |
+
"special": false
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "६०",
|
21 |
+
"lstrip": true,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": true,
|
24 |
+
"single_word": false,
|
25 |
+
"special": false
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "६३",
|
29 |
+
"lstrip": true,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": true,
|
32 |
+
"single_word": false,
|
33 |
+
"special": false
|
34 |
+
},
|
35 |
+
"4": {
|
36 |
+
"content": "५९",
|
37 |
+
"lstrip": true,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": true,
|
40 |
+
"single_word": false,
|
41 |
+
"special": false
|
42 |
+
},
|
43 |
+
"5": {
|
44 |
+
"content": "१९",
|
45 |
+
"lstrip": true,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": true,
|
48 |
+
"single_word": false,
|
49 |
+
"special": false
|
50 |
+
},
|
51 |
+
"6": {
|
52 |
+
"content": "१२",
|
53 |
+
"lstrip": true,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": true,
|
56 |
+
"single_word": false,
|
57 |
+
"special": false
|
58 |
+
},
|
59 |
+
"7": {
|
60 |
+
"content": "५३",
|
61 |
+
"lstrip": true,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": true,
|
64 |
+
"single_word": false,
|
65 |
+
"special": false
|
66 |
+
},
|
67 |
+
"8": {
|
68 |
+
"content": "५८",
|
69 |
+
"lstrip": true,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": true,
|
72 |
+
"single_word": false,
|
73 |
+
"special": false
|
74 |
+
},
|
75 |
+
"9": {
|
76 |
+
"content": "९९",
|
77 |
+
"lstrip": true,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": true,
|
80 |
+
"single_word": false,
|
81 |
+
"special": false
|
82 |
+
},
|
83 |
+
"10": {
|
84 |
+
"content": "८६",
|
85 |
+
"lstrip": true,
|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": true,
|
88 |
+
"single_word": false,
|
89 |
+
"special": false
|
90 |
+
},
|
91 |
+
"11": {
|
92 |
+
"content": "५२",
|
93 |
+
"lstrip": true,
|
94 |
+
"normalized": false,
|
95 |
+
"rstrip": true,
|
96 |
+
"single_word": false,
|
97 |
+
"special": false
|
98 |
+
},
|
99 |
+
"12": {
|
100 |
+
"content": "८७",
|
101 |
+
"lstrip": true,
|
102 |
+
"normalized": false,
|
103 |
+
"rstrip": true,
|
104 |
+
"single_word": false,
|
105 |
+
"special": false
|
106 |
+
},
|
107 |
+
"13": {
|
108 |
+
"content": "४८",
|
109 |
+
"lstrip": true,
|
110 |
+
"normalized": false,
|
111 |
+
"rstrip": true,
|
112 |
+
"single_word": false,
|
113 |
+
"special": false
|
114 |
+
},
|
115 |
+
"14": {
|
116 |
+
"content": "३५",
|
117 |
+
"lstrip": true,
|
118 |
+
"normalized": false,
|
119 |
+
"rstrip": true,
|
120 |
+
"single_word": false,
|
121 |
+
"special": false
|
122 |
+
},
|
123 |
+
"16": {
|
124 |
+
"content": "३२",
|
125 |
+
"lstrip": true,
|
126 |
+
"normalized": false,
|
127 |
+
"rstrip": true,
|
128 |
+
"single_word": false,
|
129 |
+
"special": false
|
130 |
+
},
|
131 |
+
"17": {
|
132 |
+
"content": "२२",
|
133 |
+
"lstrip": true,
|
134 |
+
"normalized": false,
|
135 |
+
"rstrip": true,
|
136 |
+
"single_word": false,
|
137 |
+
"special": false
|
138 |
+
},
|
139 |
+
"18": {
|
140 |
+
"content": "९१",
|
141 |
+
"lstrip": true,
|
142 |
+
"normalized": false,
|
143 |
+
"rstrip": true,
|
144 |
+
"single_word": false,
|
145 |
+
"special": false
|
146 |
+
},
|
147 |
+
"19": {
|
148 |
+
"content": "७७",
|
149 |
+
"lstrip": true,
|
150 |
+
"normalized": false,
|
151 |
+
"rstrip": true,
|
152 |
+
"single_word": false,
|
153 |
+
"special": false
|
154 |
+
},
|
155 |
+
"20": {
|
156 |
+
"content": "१४",
|
157 |
+
"lstrip": true,
|
158 |
+
"normalized": false,
|
159 |
+
"rstrip": true,
|
160 |
+
"single_word": false,
|
161 |
+
"special": false
|
162 |
+
},
|
163 |
+
"21": {
|
164 |
+
"content": "२८",
|
165 |
+
"lstrip": true,
|
166 |
+
"normalized": false,
|
167 |
+
"rstrip": true,
|
168 |
+
"single_word": false,
|
169 |
+
"special": false
|
170 |
+
},
|
171 |
+
"23": {
|
172 |
+
"content": "७३",
|
173 |
+
"lstrip": true,
|
174 |
+
"normalized": false,
|
175 |
+
"rstrip": true,
|
176 |
+
"single_word": false,
|
177 |
+
"special": false
|
178 |
+
},
|
179 |
+
"24": {
|
180 |
+
"content": "१०",
|
181 |
+
"lstrip": true,
|
182 |
+
"normalized": false,
|
183 |
+
"rstrip": true,
|
184 |
+
"single_word": false,
|
185 |
+
"special": false
|
186 |
+
},
|
187 |
+
"25": {
|
188 |
+
"content": "२७",
|
189 |
+
"lstrip": true,
|
190 |
+
"normalized": false,
|
191 |
+
"rstrip": true,
|
192 |
+
"single_word": false,
|
193 |
+
"special": false
|
194 |
+
},
|
195 |
+
"26": {
|
196 |
+
"content": "४०",
|
197 |
+
"lstrip": true,
|
198 |
+
"normalized": false,
|
199 |
+
"rstrip": true,
|
200 |
+
"single_word": false,
|
201 |
+
"special": false
|
202 |
+
},
|
203 |
+
"27": {
|
204 |
+
"content": "४७",
|
205 |
+
"lstrip": true,
|
206 |
+
"normalized": false,
|
207 |
+
"rstrip": true,
|
208 |
+
"single_word": false,
|
209 |
+
"special": false
|
210 |
+
},
|
211 |
+
"28": {
|
212 |
+
"content": "५७",
|
213 |
+
"lstrip": true,
|
214 |
+
"normalized": false,
|
215 |
+
"rstrip": true,
|
216 |
+
"single_word": false,
|
217 |
+
"special": false
|
218 |
+
},
|
219 |
+
"30": {
|
220 |
+
"content": "६४",
|
221 |
+
"lstrip": true,
|
222 |
+
"normalized": false,
|
223 |
+
"rstrip": true,
|
224 |
+
"single_word": false,
|
225 |
+
"special": false
|
226 |
+
},
|
227 |
+
"31": {
|
228 |
+
"content": "२१",
|
229 |
+
"lstrip": true,
|
230 |
+
"normalized": false,
|
231 |
+
"rstrip": true,
|
232 |
+
"single_word": false,
|
233 |
+
"special": false
|
234 |
+
},
|
235 |
+
"32": {
|
236 |
+
"content": "६१",
|
237 |
+
"lstrip": true,
|
238 |
+
"normalized": false,
|
239 |
+
"rstrip": true,
|
240 |
+
"single_word": false,
|
241 |
+
"special": false
|
242 |
+
},
|
243 |
+
"33": {
|
244 |
+
"content": "८०",
|
245 |
+
"lstrip": true,
|
246 |
+
"normalized": false,
|
247 |
+
"rstrip": true,
|
248 |
+
"single_word": false,
|
249 |
+
"special": false
|
250 |
+
},
|
251 |
+
"34": {
|
252 |
+
"content": "३१",
|
253 |
+
"lstrip": true,
|
254 |
+
"normalized": false,
|
255 |
+
"rstrip": true,
|
256 |
+
"single_word": false,
|
257 |
+
"special": false
|
258 |
+
},
|
259 |
+
"35": {
|
260 |
+
"content": "९३",
|
261 |
+
"lstrip": true,
|
262 |
+
"normalized": false,
|
263 |
+
"rstrip": true,
|
264 |
+
"single_word": false,
|
265 |
+
"special": false
|
266 |
+
},
|
267 |
+
"36": {
|
268 |
+
"content": "६७",
|
269 |
+
"lstrip": true,
|
270 |
+
"normalized": false,
|
271 |
+
"rstrip": true,
|
272 |
+
"single_word": false,
|
273 |
+
"special": false
|
274 |
+
},
|
275 |
+
"37": {
|
276 |
+
"content": "७०",
|
277 |
+
"lstrip": true,
|
278 |
+
"normalized": false,
|
279 |
+
"rstrip": true,
|
280 |
+
"single_word": false,
|
281 |
+
"special": false
|
282 |
+
},
|
283 |
+
"39": {
|
284 |
+
"content": "७१",
|
285 |
+
"lstrip": true,
|
286 |
+
"normalized": false,
|
287 |
+
"rstrip": true,
|
288 |
+
"single_word": false,
|
289 |
+
"special": false
|
290 |
+
},
|
291 |
+
"40": {
|
292 |
+
"content": "८५",
|
293 |
+
"lstrip": true,
|
294 |
+
"normalized": false,
|
295 |
+
"rstrip": true,
|
296 |
+
"single_word": false,
|
297 |
+
"special": false
|
298 |
+
},
|
299 |
+
"41": {
|
300 |
+
"content": "३६",
|
301 |
+
"lstrip": true,
|
302 |
+
"normalized": false,
|
303 |
+
"rstrip": true,
|
304 |
+
"single_word": false,
|
305 |
+
"special": false
|
306 |
+
},
|
307 |
+
"42": {
|
308 |
+
"content": "११",
|
309 |
+
"lstrip": true,
|
310 |
+
"normalized": false,
|
311 |
+
"rstrip": true,
|
312 |
+
"single_word": false,
|
313 |
+
"special": false
|
314 |
+
},
|
315 |
+
"43": {
|
316 |
+
"content": "८९",
|
317 |
+
"lstrip": true,
|
318 |
+
"normalized": false,
|
319 |
+
"rstrip": true,
|
320 |
+
"single_word": false,
|
321 |
+
"special": false
|
322 |
+
},
|
323 |
+
"45": {
|
324 |
+
"content": "७५",
|
325 |
+
"lstrip": true,
|
326 |
+
"normalized": false,
|
327 |
+
"rstrip": true,
|
328 |
+
"single_word": false,
|
329 |
+
"special": false
|
330 |
+
},
|
331 |
+
"46": {
|
332 |
+
"content": "३७",
|
333 |
+
"lstrip": true,
|
334 |
+
"normalized": false,
|
335 |
+
"rstrip": true,
|
336 |
+
"single_word": false,
|
337 |
+
"special": false
|
338 |
+
},
|
339 |
+
"47": {
|
340 |
+
"content": "२०",
|
341 |
+
"lstrip": true,
|
342 |
+
"normalized": false,
|
343 |
+
"rstrip": true,
|
344 |
+
"single_word": false,
|
345 |
+
"special": false
|
346 |
+
},
|
347 |
+
"48": {
|
348 |
+
"content": "३३",
|
349 |
+
"lstrip": true,
|
350 |
+
"normalized": false,
|
351 |
+
"rstrip": true,
|
352 |
+
"single_word": false,
|
353 |
+
"special": false
|
354 |
+
},
|
355 |
+
"49": {
|
356 |
+
"content": "१३",
|
357 |
+
"lstrip": true,
|
358 |
+
"normalized": false,
|
359 |
+
"rstrip": true,
|
360 |
+
"single_word": false,
|
361 |
+
"special": false
|
362 |
+
},
|
363 |
+
"50": {
|
364 |
+
"content": "१६",
|
365 |
+
"lstrip": true,
|
366 |
+
"normalized": false,
|
367 |
+
"rstrip": true,
|
368 |
+
"single_word": false,
|
369 |
+
"special": false
|
370 |
+
},
|
371 |
+
"51": {
|
372 |
+
"content": "७२",
|
373 |
+
"lstrip": true,
|
374 |
+
"normalized": false,
|
375 |
+
"rstrip": true,
|
376 |
+
"single_word": false,
|
377 |
+
"special": false
|
378 |
+
},
|
379 |
+
"52": {
|
380 |
+
"content": "७९",
|
381 |
+
"lstrip": true,
|
382 |
+
"normalized": false,
|
383 |
+
"rstrip": true,
|
384 |
+
"single_word": false,
|
385 |
+
"special": false
|
386 |
+
},
|
387 |
+
"53": {
|
388 |
+
"content": "३८",
|
389 |
+
"lstrip": true,
|
390 |
+
"normalized": false,
|
391 |
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392 |
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|
393 |
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|
394 |
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},
|
395 |
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|
396 |
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|
397 |
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|
398 |
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399 |
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|
400 |
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|
401 |
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402 |
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403 |
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404 |
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405 |
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406 |
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407 |
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408 |
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409 |
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410 |
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411 |
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412 |
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413 |
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414 |
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416 |
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417 |
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418 |
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419 |
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420 |
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421 |
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422 |
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423 |
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424 |
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425 |
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426 |
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427 |
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|
428 |
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430 |
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432 |
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434 |
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435 |
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436 |
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437 |
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438 |
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440 |
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441 |
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442 |
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443 |
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444 |
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445 |
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446 |
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448 |
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449 |
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450 |
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451 |
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452 |
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453 |
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454 |
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455 |
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456 |
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457 |
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458 |
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459 |
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460 |
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461 |
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462 |
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463 |
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464 |
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466 |
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467 |
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468 |
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470 |
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472 |
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473 |
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474 |
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475 |
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476 |
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477 |
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478 |
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480 |
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481 |
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482 |
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483 |
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484 |
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485 |
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486 |
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491 |
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492 |
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494 |
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496 |
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498 |
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500 |
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504 |
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506 |
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508 |
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515 |
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516 |
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518 |
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522 |
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523 |
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524 |
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525 |
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526 |
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527 |
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528 |
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530 |
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531 |
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532 |
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536 |
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538 |
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540 |
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541 |
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542 |
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543 |
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546 |
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554 |
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556 |
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562 |
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563 |
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564 |
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566 |
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569 |
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570 |
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571 |
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572 |
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573 |
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574 |
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577 |
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578 |
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579 |
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580 |
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581 |
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582 |
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583 |
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584 |
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585 |
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586 |
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587 |
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588 |
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589 |
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590 |
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591 |
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593 |
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594 |
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595 |
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596 |
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597 |
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598 |
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599 |
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600 |
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601 |
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602 |
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},
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603 |
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604 |
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605 |
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606 |
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607 |
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608 |
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609 |
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610 |
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611 |
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612 |
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613 |
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614 |
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615 |
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616 |
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617 |
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618 |
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619 |
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620 |
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621 |
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622 |
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623 |
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624 |
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625 |
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626 |
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627 |
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628 |
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629 |
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630 |
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631 |
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633 |
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634 |
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635 |
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636 |
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637 |
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638 |
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639 |
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640 |
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641 |
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642 |
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643 |
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644 |
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645 |
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646 |
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647 |
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648 |
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649 |
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650 |
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651 |
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652 |
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653 |
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654 |
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655 |
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656 |
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657 |
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658 |
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659 |
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660 |
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661 |
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662 |
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663 |
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664 |
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665 |
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666 |
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667 |
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668 |
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669 |
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670 |
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671 |
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672 |
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673 |
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674 |
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675 |
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676 |
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678 |
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683 |
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684 |
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685 |
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686 |
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692 |
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693 |
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694 |
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698 |
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699 |
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700 |
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702 |
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703 |
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704 |
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705 |
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706 |
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707 |
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708 |
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709 |
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710 |
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714 |
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715 |
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716 |
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717 |
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718 |
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719 |
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720 |
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721 |
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722 |
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723 |
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|
724 |
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725 |
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726 |
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727 |
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728 |
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729 |
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730 |
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731 |
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|
732 |
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|
733 |
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734 |
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735 |
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736 |
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|
738 |
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739 |
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740 |
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741 |
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742 |
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743 |
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744 |
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745 |
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|
746 |
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747 |
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|
748 |
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|
749 |
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|
750 |
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|
751 |
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752 |
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753 |
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754 |
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755 |
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|
756 |
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757 |
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758 |
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759 |
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760 |
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761 |
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|
762 |
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}
|
763 |
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},
|
764 |
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"bos_token": "<s>",
|
765 |
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|
766 |
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|
767 |
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|
768 |
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|
769 |
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|
770 |
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|
771 |
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|
772 |
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
|
773 |
+
"unk_token": "[UNK]",
|
774 |
+
"word_delimiter_token": "|"
|
775 |
+
}
|
vocab.json
ADDED
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[PAD]": 103,
|
3 |
+
"[UNK]": 102,
|
4 |
+
"|": 62,
|
5 |
+
"०": 38,
|
6 |
+
"१": 73,
|
7 |
+
"१०": 24,
|
8 |
+
"१००": 98,
|
9 |
+
"११": 42,
|
10 |
+
"१२": 6,
|
11 |
+
"१३": 49,
|
12 |
+
"१४": 20,
|
13 |
+
"१५": 87,
|
14 |
+
"१६": 50,
|
15 |
+
"१७": 91,
|
16 |
+
"१८": 61,
|
17 |
+
"१९": 5,
|
18 |
+
"२": 15,
|
19 |
+
"२०": 47,
|
20 |
+
"२१": 31,
|
21 |
+
"२२": 17,
|
22 |
+
"२३": 55,
|
23 |
+
"२४": 68,
|
24 |
+
"२५": 93,
|
25 |
+
"२६": 72,
|
26 |
+
"२७": 25,
|
27 |
+
"२८": 21,
|
28 |
+
"२९": 65,
|
29 |
+
"३": 57,
|
30 |
+
"३०": 97,
|
31 |
+
"३१": 34,
|
32 |
+
"३२": 16,
|
33 |
+
"३३": 48,
|
34 |
+
"३४": 76,
|
35 |
+
"३५": 14,
|
36 |
+
"३६": 41,
|
37 |
+
"३७": 46,
|
38 |
+
"३८": 53,
|
39 |
+
"३९": 80,
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40 |
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