Upload tokenizer
Browse files- README.md +199 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +940 -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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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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"<extra_id_1>",
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"<extra_id_2>",
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"<extra_id_3>",
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"<extra_id_4>",
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"<extra_id_5>",
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"<extra_id_6>",
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"<extra_id_7>",
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"<extra_id_8>",
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"<extra_id_9>",
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"<extra_id_11>",
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"<extra_id_12>",
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"<extra_id_13>",
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"<extra_id_14>",
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"<extra_id_15>",
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"<extra_id_16>",
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"<extra_id_17>",
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"<extra_id_18>",
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"<extra_id_19>",
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"<extra_id_20>",
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"<extra_id_21>",
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"<extra_id_22>",
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"<extra_id_23>",
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"<extra_id_24>",
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"<extra_id_25>",
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"<extra_id_26>",
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"<extra_id_27>",
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"<extra_id_28>",
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"<extra_id_29>",
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"<extra_id_31>",
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"<extra_id_92>",
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"<extra_id_93>",
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"<extra_id_94>",
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"<extra_id_95>",
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"<extra_id_96>",
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"<extra_id_97>",
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"<extra_id_98>",
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"<extra_id_99>"
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],
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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size 791656
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tokenizer.json
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tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"add_prefix_space": true,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<pad>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "</s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
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"content": "<unk>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"32000": {
|
29 |
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"content": "<extra_id_99>",
|
30 |
+
"lstrip": false,
|
31 |
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"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
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"32001": {
|
37 |
+
"content": "<extra_id_98>",
|
38 |
+
"lstrip": false,
|
39 |
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"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
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"special": true
|
43 |
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},
|
44 |
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"32002": {
|
45 |
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"content": "<extra_id_97>",
|
46 |
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"lstrip": false,
|
47 |
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"normalized": false,
|
48 |
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"rstrip": false,
|
49 |
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"single_word": false,
|
50 |
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"special": true
|
51 |
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},
|
52 |
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"32003": {
|
53 |
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"content": "<extra_id_96>",
|
54 |
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"lstrip": false,
|
55 |
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"normalized": false,
|
56 |
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"rstrip": false,
|
57 |
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"single_word": false,
|
58 |
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"special": true
|
59 |
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},
|
60 |
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"32004": {
|
61 |
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"content": "<extra_id_95>",
|
62 |
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|
63 |
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"normalized": false,
|
64 |
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|
65 |
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"single_word": false,
|
66 |
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"special": true
|
67 |
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},
|
68 |
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"32005": {
|
69 |
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"content": "<extra_id_94>",
|
70 |
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"lstrip": false,
|
71 |
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"normalized": false,
|
72 |
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"rstrip": false,
|
73 |
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"single_word": false,
|
74 |
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"special": true
|
75 |
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},
|
76 |
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"32006": {
|
77 |
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"content": "<extra_id_93>",
|
78 |
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"lstrip": false,
|
79 |
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"normalized": false,
|
80 |
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"rstrip": false,
|
81 |
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"single_word": false,
|
82 |
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"special": true
|
83 |
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},
|
84 |
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"32007": {
|
85 |
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"content": "<extra_id_92>",
|
86 |
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|
87 |
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"normalized": false,
|
88 |
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|
89 |
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"single_word": false,
|
90 |
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"special": true
|
91 |
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},
|
92 |
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"32008": {
|
93 |
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"content": "<extra_id_91>",
|
94 |
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95 |
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"normalized": false,
|
96 |
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"rstrip": false,
|
97 |
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"single_word": false,
|
98 |
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"special": true
|
99 |
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},
|
100 |
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"32009": {
|
101 |
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"content": "<extra_id_90>",
|
102 |
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"lstrip": false,
|
103 |
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"normalized": false,
|
104 |
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"rstrip": false,
|
105 |
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"single_word": false,
|
106 |
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"special": true
|
107 |
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},
|
108 |
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"32010": {
|
109 |
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"content": "<extra_id_89>",
|
110 |
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|
111 |
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"normalized": false,
|
112 |
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"rstrip": false,
|
113 |
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"single_word": false,
|
114 |
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"special": true
|
115 |
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},
|
116 |
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"32011": {
|
117 |
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"content": "<extra_id_88>",
|
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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"special": true
|
123 |
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},
|
124 |
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"32012": {
|
125 |
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"content": "<extra_id_87>",
|
126 |
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|
127 |
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"normalized": false,
|
128 |
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|
129 |
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"single_word": false,
|
130 |
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"special": true
|
131 |
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},
|
132 |
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"32013": {
|
133 |
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"content": "<extra_id_86>",
|
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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"special": true
|
139 |
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},
|
140 |
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|
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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"single_word": false,
|
146 |
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"special": true
|
147 |
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},
|
148 |
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"32015": {
|
149 |
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"content": "<extra_id_84>",
|
150 |
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|
151 |
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"normalized": false,
|
152 |
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|
153 |
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"single_word": false,
|
154 |
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