LuisVargasIGG
commited on
Commit
•
9a972dc
1
Parent(s):
45ce0b6
Training in progress, epoch 0
Browse files- README.md +199 -0
- added_tokens.json +81 -0
- preprocessor_config.json +26 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +54 -0
- tokenizer.json +0 -0
- tokenizer_config.json +691 -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
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{
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"</s_Apellido>": 57585,
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"</s_Estatura>": 57593,
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"</s_Fecha_Expedicion>": 57599,
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"</s_Fecha_Nacimiento>": 57589,
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"</s_Imagen>": 57581,
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"</s_Lugar_Nacimiento>": 57591,
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"</s_Nombre>": 57587,
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"</s_Num_Cedula>": 57583,
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"</s_RH>": 57595,
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"</s_Sexo>": 57597,
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"</s_cashprice>": 57549,
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"</s_changeprice>": 57551,
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"</s_cnt>": 57529,
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"</s_creditcardprice>": 57563,
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"</s_discount_price>": 57557,
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"</s_discountprice>": 57567,
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"</s_emoneyprice>": 57569,
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"</s_etc>": 57541,
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"</s_itemsubtotal>": 57577,
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"</s_menu>": 57525,
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"</s_menuqty_cnt>": 57555,
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"</s_menutype_cnt>": 57553,
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"</s_nm>": 57527,
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"</s_num>": 57565,
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"</s_othersvc_price>": 57573,
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"</s_price>": 57531,
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"</s_service_price>": 57537,
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"</s_sub>": 57547,
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"</s_sub_total>": 57533,
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"</s_subtotal_price>": 57535,
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"</s_tax_price>": 57539,
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"</s_total>": 57543,
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"</s_total_etc>": 57561,
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"</s_total_price>": 57545,
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"</s_unitprice>": 57559,
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"</s_vatyn>": 57575,
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"</s_void_menu>": 57571,
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"<s_Apellido>": 57584,
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"<s_Estatura>": 57592,
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"<s_Fecha_Expedicion>": 57598,
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"<s_Fecha_Nacimiento>": 57588,
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"<s_Imagen>": 57580,
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"<s_Lugar_Nacimiento>": 57590,
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"<s_Nombre>": 57586,
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"<s_Num_Cedula>": 57582,
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"<s_RH>": 57594,
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"<s_Sexo>": 57596,
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"<s_cashprice>": 57550,
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"<s_changeprice>": 57552,
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"<s_cnt>": 57530,
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"<s_comunicacion-aviso-donut-dataset>": 57600,
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"<s_cord-v2>": 57579,
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"<s_creditcardprice>": 57564,
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"<s_discount_price>": 57558,
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"<s_discountprice>": 57568,
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"<s_emoneyprice>": 57570,
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"<s_etc>": 57542,
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"<s_iitcdip>": 57523,
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"<s_itemsubtotal>": 57578,
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"<s_menu>": 57526,
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"<s_menuqty_cnt>": 57556,
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"<s_menutype_cnt>": 57554,
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"<s_nm>": 57528,
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"<s_num>": 57566,
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"<s_othersvc_price>": 57574,
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"<s_price>": 57532,
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"<s_service_price>": 57538,
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"<s_sub>": 57548,
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"<s_sub_total>": 57534,
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"<s_subtotal_price>": 57536,
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"<s_synthdog>": 57524,
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"<s_tax_price>": 57540,
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"<s_total>": 57544,
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"<s_total_etc>": 57562,
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"<s_total_price>": 57546,
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"<s_unitprice>": 57560,
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"<s_vatyn>": 57576,
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"<s_void_menu>": 57572,
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"<sep/>": 57522
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}
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preprocessor_config.json
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{
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"do_align_long_axis": false,
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"do_normalize": true,
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"do_pad": true,
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"do_rescale": true,
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"do_resize": true,
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"do_thumbnail": true,
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"image_mean": [
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0.5,
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0.5
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],
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"image_processor_type": "DonutImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"processor_class": "DonutProcessor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": [
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960,
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1280
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]
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}
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb9e3dce4c326195d08fc3dd0f7e2eee1da8595c847bf4c1a9c78b7a82d47e2d
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size 1296245
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special_tokens_map.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<s_cord-v2>"
|
4 |
+
],
|
5 |
+
"bos_token": {
|
6 |
+
"content": "<s>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"cls_token": {
|
13 |
+
"content": "<s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false
|
18 |
+
},
|
19 |
+
"eos_token": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false
|
25 |
+
},
|
26 |
+
"mask_token": {
|
27 |
+
"content": "<mask>",
|
28 |
+
"lstrip": true,
|
29 |
+
"normalized": true,
|
30 |
+
"rstrip": false,
|
31 |
+
"single_word": false
|
32 |
+
},
|
33 |
+
"pad_token": {
|
34 |
+
"content": "<pad>",
|
35 |
+
"lstrip": false,
|
36 |
+
"normalized": false,
|
37 |
+
"rstrip": false,
|
38 |
+
"single_word": false
|
39 |
+
},
|
40 |
+
"sep_token": {
|
41 |
+
"content": "</s>",
|
42 |
+
"lstrip": false,
|
43 |
+
"normalized": false,
|
44 |
+
"rstrip": false,
|
45 |
+
"single_word": false
|
46 |
+
},
|
47 |
+
"unk_token": {
|
48 |
+
"content": "<unk>",
|
49 |
+
"lstrip": false,
|
50 |
+
"normalized": false,
|
51 |
+
"rstrip": false,
|
52 |
+
"single_word": false
|
53 |
+
}
|
54 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,691 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<pad>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"57521": {
|
36 |
+
"content": "<mask>",
|
37 |
+
"lstrip": true,
|
38 |
+
"normalized": true,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"57522": {
|
44 |
+
"content": "<sep/>",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": true,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": false
|
50 |
+
},
|
51 |
+
"57523": {
|
52 |
+
"content": "<s_iitcdip>",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": true,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": false
|
58 |
+
},
|
59 |
+
"57524": {
|
60 |
+
"content": "<s_synthdog>",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": true,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": false
|
66 |
+
},
|
67 |
+
"57525": {
|
68 |
+
"content": "</s_menu>",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": true,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": false
|
74 |
+
},
|
75 |
+
"57526": {
|
76 |
+
"content": "<s_menu>",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": true,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": false
|
82 |
+
},
|
83 |
+
"57527": {
|
84 |
+
"content": "</s_nm>",
|
85 |
+
"lstrip": false,
|
86 |
+
"normalized": true,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
+
"special": false
|
90 |
+
},
|
91 |
+
"57528": {
|
92 |
+
"content": "<s_nm>",
|
93 |
+
"lstrip": false,
|
94 |
+
"normalized": true,
|
95 |
+
"rstrip": false,
|
96 |
+
"single_word": false,
|
97 |
+
"special": false
|
98 |
+
},
|
99 |
+
"57529": {
|
100 |
+
"content": "</s_cnt>",
|
101 |
+
"lstrip": false,
|
102 |
+
"normalized": true,
|
103 |
+
"rstrip": false,
|
104 |
+
"single_word": false,
|
105 |
+
"special": false
|
106 |
+
},
|
107 |
+
"57530": {
|
108 |
+
"content": "<s_cnt>",
|
109 |
+
"lstrip": false,
|
110 |
+
"normalized": true,
|
111 |
+
"rstrip": false,
|
112 |
+
"single_word": false,
|
113 |
+
"special": false
|
114 |
+
},
|
115 |
+
"57531": {
|
116 |
+
"content": "</s_price>",
|
117 |
+
"lstrip": false,
|
118 |
+
"normalized": true,
|
119 |
+
"rstrip": false,
|
120 |
+
"single_word": false,
|
121 |
+
"special": false
|
122 |
+
},
|
123 |
+
"57532": {
|
124 |
+
"content": "<s_price>",
|
125 |
+
"lstrip": false,
|
126 |
+
"normalized": true,
|
127 |
+
"rstrip": false,
|
128 |
+
"single_word": false,
|
129 |
+
"special": false
|
130 |
+
},
|
131 |
+
"57533": {
|
132 |
+
"content": "</s_sub_total>",
|
133 |
+
"lstrip": false,
|
134 |
+
"normalized": true,
|
135 |
+
"rstrip": false,
|
136 |
+
"single_word": false,
|
137 |
+
"special": false
|
138 |
+
},
|
139 |
+
"57534": {
|
140 |
+
"content": "<s_sub_total>",
|
141 |
+
"lstrip": false,
|
142 |
+
"normalized": true,
|
143 |
+
"rstrip": false,
|
144 |
+
"single_word": false,
|
145 |
+
"special": false
|
146 |
+
},
|
147 |
+
"57535": {
|
148 |
+
"content": "</s_subtotal_price>",
|
149 |
+
"lstrip": false,
|
150 |
+
"normalized": true,
|
151 |
+
"rstrip": false,
|
152 |
+
"single_word": false,
|
153 |
+
"special": false
|
154 |
+
},
|
155 |
+
"57536": {
|
156 |
+
"content": "<s_subtotal_price>",
|
157 |
+
"lstrip": false,
|
158 |
+
"normalized": true,
|
159 |
+
"rstrip": false,
|
160 |
+
"single_word": false,
|
161 |
+
"special": false
|
162 |
+
},
|
163 |
+
"57537": {
|
164 |
+
"content": "</s_service_price>",
|
165 |
+
"lstrip": false,
|
166 |
+
"normalized": true,
|
167 |
+
"rstrip": false,
|
168 |
+
"single_word": false,
|
169 |
+
"special": false
|
170 |
+
},
|
171 |
+
"57538": {
|
172 |
+
"content": "<s_service_price>",
|
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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|
178 |
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},
|
179 |
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|
180 |
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|
181 |
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|
182 |
+
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|
183 |
+
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|
184 |
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185 |
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186 |
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},
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187 |
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|
188 |
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|
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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194 |
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},
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195 |
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196 |
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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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},
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203 |
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204 |
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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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},
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211 |
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|
212 |
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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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},
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219 |
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|
220 |
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221 |
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222 |
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223 |
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224 |
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225 |
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226 |
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},
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227 |
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228 |
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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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},
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235 |
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236 |
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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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},
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243 |
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|
244 |
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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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},
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251 |
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252 |
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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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},
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259 |
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|
260 |
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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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266 |
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},
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267 |
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|
268 |
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269 |
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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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},
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275 |
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|
276 |
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277 |
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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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},
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283 |
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284 |
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285 |
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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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|
292 |
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|
293 |
+
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|
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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},
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299 |
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300 |
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301 |
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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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},
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307 |
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|
308 |
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"content": "</s_menuqty_cnt>",
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309 |
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310 |
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311 |
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312 |
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313 |
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314 |
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},
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315 |
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316 |
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317 |
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318 |
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319 |
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320 |
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321 |
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322 |
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},
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323 |
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|
324 |
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325 |
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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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},
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331 |
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332 |
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333 |
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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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},
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339 |
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|
340 |
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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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},
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347 |
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348 |
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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 |
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},
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355 |
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356 |
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357 |
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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 |
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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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},
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371 |
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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 |
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},
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379 |
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380 |
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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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},
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387 |
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|
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 |
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},
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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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},
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411 |
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412 |
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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 |
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},
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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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},
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427 |
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428 |
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429 |
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430 |
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431 |
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432 |
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433 |
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434 |
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},
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435 |
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436 |
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437 |
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438 |
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439 |
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440 |
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441 |
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442 |
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},
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443 |
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444 |
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445 |
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446 |
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447 |
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448 |
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449 |
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450 |
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},
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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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},
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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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465 |
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466 |
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},
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467 |
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|
468 |
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"content": "</s_vatyn>",
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469 |
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470 |
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|
471 |
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|
472 |
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473 |
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474 |
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},
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475 |
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476 |
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477 |
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478 |
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479 |
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480 |
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481 |
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482 |
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},
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483 |
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|
484 |
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485 |
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486 |
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487 |
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488 |
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489 |
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490 |
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},
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491 |
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|
492 |
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493 |
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494 |
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495 |
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496 |
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497 |
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498 |
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},
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499 |
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500 |
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501 |
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502 |
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503 |
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504 |
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505 |
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506 |
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},
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507 |
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508 |
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509 |
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510 |
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511 |
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512 |
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513 |
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514 |
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515 |
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516 |
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517 |
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518 |
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519 |
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520 |
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521 |
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522 |
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},
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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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529 |
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530 |
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531 |
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532 |
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533 |
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534 |
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535 |
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536 |
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537 |
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538 |
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},
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539 |
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|
540 |
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541 |
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542 |
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543 |
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544 |
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545 |
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546 |
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},
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547 |
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548 |
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549 |
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550 |
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551 |
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552 |
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553 |
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554 |
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},
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555 |
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|
556 |
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557 |
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558 |
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559 |
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560 |
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561 |
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562 |
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},
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563 |
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564 |
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565 |
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566 |
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567 |
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568 |
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|
569 |
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570 |
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},
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571 |
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|
572 |
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"content": "<s_Fecha_Nacimiento>",
|
573 |
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|
574 |
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575 |
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576 |
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577 |
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578 |
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},
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579 |
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|
580 |
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"content": "</s_Fecha_Nacimiento>",
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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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},
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587 |
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|
588 |
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"content": "<s_Lugar_Nacimiento>",
|
589 |
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|
590 |
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|
591 |
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592 |
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593 |
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|
594 |
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},
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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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},
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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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},
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619 |
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|
620 |
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"content": "<s_RH>",
|
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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"content": "</s_RH>",
|
629 |
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|
630 |
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|
631 |
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|
632 |
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633 |
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634 |
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635 |
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636 |
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