Upload tokenizer
Browse files- README.md +199 -0
- added_tokens.json +4 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +431 -0
- vocab.json +57 -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>": 56,
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"<s>": 55
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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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{
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"added_tokens_decoder": {
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"2": {
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"content": "اْ",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"3": {
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"content": "بُ",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"4": {
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"content": "بِ",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"5": {
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"content": "بِّ",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"6": {
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"content": "تَ",
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"lstrip": true,
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"normalized": false,
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39 |
+
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|
40 |
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|
41 |
+
"special": false
|
42 |
+
},
|
43 |
+
"7": {
|
44 |
+
"content": "حَ",
|
45 |
+
"lstrip": true,
|
46 |
+
"normalized": false,
|
47 |
+
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|
48 |
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|
49 |
+
"special": false
|
50 |
+
},
|
51 |
+
"8": {
|
52 |
+
"content": "حِ",
|
53 |
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"lstrip": true,
|
54 |
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|
55 |
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|
56 |
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|
57 |
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|
58 |
+
},
|
59 |
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"9": {
|
60 |
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"content": "حْ",
|
61 |
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|
62 |
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|
63 |
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|
64 |
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|
65 |
+
"special": false
|
66 |
+
},
|
67 |
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"10": {
|
68 |
+
"content": "دُ",
|
69 |
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"lstrip": true,
|
70 |
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|
71 |
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|
72 |
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|
73 |
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|
74 |
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},
|
75 |
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"11": {
|
76 |
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|
77 |
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|
78 |
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|
79 |
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|
80 |
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|
81 |
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|
82 |
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},
|
83 |
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"12": {
|
84 |
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"content": "دِّ",
|
85 |
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|
86 |
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|
87 |
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|
88 |
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|
89 |
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|
90 |
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},
|
91 |
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"13": {
|
92 |
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"content": "ذِ",
|
93 |
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"lstrip": true,
|
94 |
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|
95 |
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|
96 |
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|
97 |
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|
98 |
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99 |
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|
100 |
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|
101 |
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102 |
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|
103 |
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|
104 |
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|
105 |
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106 |
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},
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107 |
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|
108 |
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|
109 |
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|
110 |
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|
111 |
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|
112 |
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|
113 |
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|
114 |
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},
|
115 |
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"16": {
|
116 |
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|
117 |
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|
118 |
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|
119 |
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|
120 |
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|
121 |
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|
122 |
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},
|
123 |
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"17": {
|
124 |
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"content": "سْ",
|
125 |
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|
126 |
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|
127 |
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|
128 |
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|
129 |
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|
130 |
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},
|
131 |
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"18": {
|
132 |
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"content": "صِ",
|
133 |
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|
134 |
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|
135 |
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|
136 |
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|
137 |
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|
138 |
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},
|
139 |
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"19": {
|
140 |
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"content": "صِّ",
|
141 |
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|
142 |
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|
143 |
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|
144 |
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|
145 |
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|
146 |
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},
|
147 |
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"20": {
|
148 |
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"content": "طَ",
|
149 |
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|
150 |
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|
151 |
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|
152 |
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|
153 |
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|
154 |
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},
|
155 |
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"21": {
|
156 |
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|
157 |
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|
158 |
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|
159 |
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|
160 |
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|
161 |
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"special": false
|
162 |
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},
|
163 |
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"22": {
|
164 |
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"content": "عِ",
|
165 |
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|
166 |
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|
167 |
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|
168 |
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|
169 |
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"special": false
|
170 |
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},
|
171 |
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"23": {
|
172 |
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"content": "عْ",
|
173 |
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|
174 |
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|
175 |
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|
176 |
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|
177 |
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"special": false
|
178 |
+
},
|
179 |
+
"24": {
|
180 |
+
"content": "غَ",
|
181 |
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"lstrip": true,
|
182 |
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|
183 |
+
"rstrip": true,
|
184 |
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|
185 |
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"special": false
|
186 |
+
},
|
187 |
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"25": {
|
188 |
+
"content": "غُْ",
|
189 |
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|
190 |
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|
191 |
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|
192 |
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|
193 |
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"special": false
|
194 |
+
},
|
195 |
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"26": {
|
196 |
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"content": "قِ",
|
197 |
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|
198 |
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|
199 |
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|
200 |
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|
201 |
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|
202 |
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},
|
203 |
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"27": {
|
204 |
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"content": "كَ",
|
205 |
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|
206 |
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|
207 |
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|
208 |
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|
209 |
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|
210 |
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},
|
211 |
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"28": {
|
212 |
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"content": "كِ",
|
213 |
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|
214 |
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|
215 |
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|
216 |
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|
217 |
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|
218 |
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},
|
219 |
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"30": {
|
220 |
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"content": "لَ",
|
221 |
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"lstrip": true,
|
222 |
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|
223 |
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|
224 |
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|
225 |
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"special": false
|
226 |
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},
|
227 |
+
"31": {
|
228 |
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"content": "لِ",
|
229 |
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|
230 |
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|
231 |
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|
232 |
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|
233 |
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|
234 |
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},
|
235 |
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"32": {
|
236 |
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"content": "لَّ",
|
237 |
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|
238 |
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|
239 |
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|
240 |
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|
241 |
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|
242 |
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},
|
243 |
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"33": {
|
244 |
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"content": "لَِّ",
|
245 |
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|
246 |
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|
247 |
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|
248 |
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|
249 |
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|
250 |
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},
|
251 |
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"34": {
|
252 |
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"content": "لِّ",
|
253 |
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|
254 |
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|
255 |
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|
256 |
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|
257 |
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|
258 |
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},
|
259 |
+
"35": {
|
260 |
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"content": "لْ",
|
261 |
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|
262 |
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|
263 |
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|
264 |
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|
265 |
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"special": false
|
266 |
+
},
|
267 |
+
"36": {
|
268 |
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"content": "مَ",
|
269 |
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"lstrip": true,
|
270 |
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|
271 |
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|
272 |
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|
273 |
+
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|
274 |
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},
|
275 |
+
"37": {
|
276 |
+
"content": "مُ",
|
277 |
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"lstrip": true,
|
278 |
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|
279 |
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|
280 |
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|
281 |
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|
282 |
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},
|
283 |
+
"38": {
|
284 |
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"content": "مِ",
|
285 |
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"lstrip": true,
|
286 |
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|
287 |
+
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|
288 |
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|
289 |
+
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|
290 |
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},
|
291 |
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"39": {
|
292 |
+
"content": "مْ",
|
293 |
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"lstrip": true,
|
294 |
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|
295 |
+
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|
296 |
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|
297 |
+
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|
298 |
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},
|
299 |
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"40": {
|
300 |
+
"content": "نَ",
|
301 |
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"lstrip": true,
|
302 |
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|
303 |
+
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|
304 |
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|
305 |
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|
306 |
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},
|
307 |
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"41": {
|
308 |
+
"content": "نُ",
|
309 |
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"lstrip": true,
|
310 |
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|
311 |
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|
312 |
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|
313 |
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"special": false
|
314 |
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},
|
315 |
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"42": {
|
316 |
+
"content": "نِ",
|
317 |
+
"lstrip": true,
|
318 |
+
"normalized": false,
|
319 |
+
"rstrip": true,
|
320 |
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|
321 |
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"special": false
|
322 |
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},
|
323 |
+
"43": {
|
324 |
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"content": "نْ",
|
325 |
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"lstrip": true,
|
326 |
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|
327 |
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|
328 |
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|
329 |
+
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|
330 |
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},
|
331 |
+
"45": {
|
332 |
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"content": "وَ",
|
333 |
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"lstrip": true,
|
334 |
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|
335 |
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|
336 |
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|
337 |
+
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|
338 |
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},
|
339 |
+
"46": {
|
340 |
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"content": "وَِ",
|
341 |
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|
342 |
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|
343 |
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|
344 |
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|
345 |
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|
346 |
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},
|
347 |
+
"47": {
|
348 |
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"content": "وْ",
|
349 |
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|
350 |
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|
351 |
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|
352 |
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|
353 |
+
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|
354 |
+
},
|
355 |
+
"49": {
|
356 |
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"content": "يَ",
|
357 |
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"lstrip": true,
|
358 |
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|
359 |
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|
360 |
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|
361 |
+
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|
362 |
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},
|
363 |
+
"50": {
|
364 |
+
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|
365 |
+
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|
366 |
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|
367 |
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|
368 |
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|
369 |
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|
370 |
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},
|
371 |
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"51": {
|
372 |
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|
373 |
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|
374 |
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|
375 |
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|
376 |
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|
377 |
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|
378 |
+
},
|
379 |
+
"52": {
|
380 |
+
"content": "يِْ",
|
381 |
+
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|
382 |
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|
383 |
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|
384 |
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|
385 |
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|
386 |
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},
|
387 |
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"53": {
|
388 |
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|
389 |
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|
390 |
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|
391 |
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|
392 |
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|
393 |
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|
394 |
+
},
|
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 |
+
},
|
403 |
+
"55": {
|
404 |
+
"content": "<s>",
|
405 |
+
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|
406 |
+
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|
407 |
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|
408 |
+
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|
409 |
+
"special": true
|
410 |
+
},
|
411 |
+
"56": {
|
412 |
+
"content": "</s>",
|
413 |
+
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|
414 |
+
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|
415 |
+
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|
416 |
+
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|
417 |
+
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|
418 |
+
}
|
419 |
+
},
|
420 |
+
"bos_token": "<s>",
|
421 |
+
"clean_up_tokenization_spaces": true,
|
422 |
+
"do_lower_case": false,
|
423 |
+
"eos_token": "</s>",
|
424 |
+
"model_max_length": 1000000000000000019884624838656,
|
425 |
+
"pad_token": "[PAD]",
|
426 |
+
"replace_word_delimiter_char": " ",
|
427 |
+
"target_lang": null,
|
428 |
+
"tokenizer_class": "Wav2Vec2CTCTokenizer",
|
429 |
+
"unk_token": "[UNK]",
|
430 |
+
"word_delimiter_token": "|"
|
431 |
+
}
|
vocab.json
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
" ": 0,
|
3 |
+
"[PAD]": 54,
|
4 |
+
"[UNK]": 53,
|
5 |
+
"ا": 1,
|
6 |
+
"اْ": 2,
|
7 |
+
"بُ": 3,
|
8 |
+
"بِ": 4,
|
9 |
+
"بِّ": 5,
|
10 |
+
"تَ": 6,
|
11 |
+
"حَ": 7,
|
12 |
+
"حِ": 8,
|
13 |
+
"حْ": 9,
|
14 |
+
"دُ": 10,
|
15 |
+
"دِ": 11,
|
16 |
+
"دِّ": 12,
|
17 |
+
"ذِ": 13,
|
18 |
+
"رَ": 14,
|
19 |
+
"رِ": 15,
|
20 |
+
"رَّ": 16,
|
21 |
+
"سْ": 17,
|
22 |
+
"صِ": 18,
|
23 |
+
"صِّ": 19,
|
24 |
+
"طَ": 20,
|
25 |
+
"عَ": 21,
|
26 |
+
"عِ": 22,
|
27 |
+
"عْ": 23,
|
28 |
+
"غَ": 24,
|
29 |
+
"غُْ": 25,
|
30 |
+
"قِ": 26,
|
31 |
+
"كَ": 27,
|
32 |
+
"كِ": 28,
|
33 |
+
"ل": 29,
|
34 |
+
"لَ": 30,
|
35 |
+
"لِ": 31,
|
36 |
+
"لَّ": 32,
|
37 |
+
"لَِّ": 33,
|
38 |
+
"لِّ": 34,
|
39 |
+
"لْ": 35,
|
40 |
+
"مَ": 36,
|
41 |
+
"مُ": 37,
|
42 |
+
"مِ": 38,
|
43 |
+
"مْ": 39,
|
44 |
+
"نَ": 40,
|
45 |
+
"نُ": 41,
|
46 |
+
"نِ": 42,
|
47 |
+
"نْ": 43,
|
48 |
+
"و": 44,
|
49 |
+
"وَ": 45,
|
50 |
+
"وَِ": 46,
|
51 |
+
"وْ": 47,
|
52 |
+
"ي": 48,
|
53 |
+
"يَ": 49,
|
54 |
+
"يَّ": 50,
|
55 |
+
"يْ": 51,
|
56 |
+
"يِْ": 52
|
57 |
+
}
|