Upload tokenizer
Browse files- README.md +199 -0
- special_tokens_map.json +1 -0
- tokenizer.json +539 -0
- tokenizer_config.json +8 -0
README.md
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| 1 |
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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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| 15 |
+
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+
<!-- Provide a longer summary of what this model is. -->
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| 17 |
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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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| 19 |
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- **Developed by:** [More Information Needed]
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| 21 |
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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| 23 |
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- **Model type:** [More Information Needed]
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| 24 |
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- **Language(s) (NLP):** [More Information Needed]
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| 25 |
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- **License:** [More Information Needed]
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| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
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| 28 |
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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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| 33 |
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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| 35 |
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| 36 |
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## Uses
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| 37 |
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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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| 41 |
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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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| 43 |
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[More Information Needed]
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| 45 |
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### Downstream Use [optional]
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| 47 |
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| 48 |
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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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| 51 |
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### Out-of-Scope Use
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| 53 |
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| 54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 56 |
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[More Information Needed]
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| 57 |
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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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| 65 |
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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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tokenizer.json
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|
| 1 |
+
{
|
| 2 |
+
"version": "1.0",
|
| 3 |
+
"truncation": null,
|
| 4 |
+
"padding": null,
|
| 5 |
+
"added_tokens": [],
|
| 6 |
+
"normalizer": null,
|
| 7 |
+
"pre_tokenizer": {
|
| 8 |
+
"type": "ByteLevel",
|
| 9 |
+
"add_prefix_space": false,
|
| 10 |
+
"trim_offsets": true,
|
| 11 |
+
"use_regex": true
|
| 12 |
+
},
|
| 13 |
+
"post_processor": {
|
| 14 |
+
"type": "ByteLevel",
|
| 15 |
+
"add_prefix_space": true,
|
| 16 |
+
"trim_offsets": false,
|
| 17 |
+
"use_regex": true
|
| 18 |
+
},
|
| 19 |
+
"decoder": {
|
| 20 |
+
"type": "ByteLevel",
|
| 21 |
+
"add_prefix_space": true,
|
| 22 |
+
"trim_offsets": true,
|
| 23 |
+
"use_regex": true
|
| 24 |
+
},
|
| 25 |
+
"model": {
|
| 26 |
+
"type": "BPE",
|
| 27 |
+
"dropout": null,
|
| 28 |
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"unk_token": null,
|
| 29 |
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"continuing_subword_prefix": null,
|
| 30 |
+
"end_of_word_suffix": null,
|
| 31 |
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"fuse_unk": false,
|
| 32 |
+
"byte_fallback": false,
|
| 33 |
+
"ignore_merges": false,
|
| 34 |
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"vocab": {
|
| 35 |
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"!": 0,
|
| 36 |
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"\"": 1,
|
| 37 |
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"#": 2,
|
| 38 |
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"$": 3,
|
| 39 |
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"%": 4,
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| 40 |
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| 41 |
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"'": 6,
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| 42 |
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"(": 7,
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| 43 |
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")": 8,
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| 44 |
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"*": 9,
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| 45 |
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"+": 10,
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| 46 |
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",": 11,
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| 47 |
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"-": 12,
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| 48 |
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".": 13,
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| 49 |
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"/": 14,
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| 50 |
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"0": 15,
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| 51 |
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"1": 16,
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| 52 |
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"2": 17,
|
| 53 |
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"3": 18,
|
| 54 |
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"4": 19,
|
| 55 |
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"5": 20,
|
| 56 |
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"6": 21,
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| 57 |
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"7": 22,
|
| 58 |
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"8": 23,
|
| 59 |
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"9": 24,
|
| 60 |
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":": 25,
|
| 61 |
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";": 26,
|
| 62 |
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"<": 27,
|
| 63 |
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"=": 28,
|
| 64 |
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">": 29,
|
| 65 |
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"?": 30,
|
| 66 |
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"@": 31,
|
| 67 |
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"A": 32,
|
| 68 |
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"B": 33,
|
| 69 |
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"C": 34,
|
| 70 |
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"D": 35,
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| 71 |
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"E": 36,
|
| 72 |
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"F": 37,
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"G": 38,
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"H": 39,
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"I": 40,
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| 76 |
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"J": 41,
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| 77 |
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"K": 42,
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"L": 43,
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"M": 44,
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| 84 |
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"R": 49,
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"S": 50,
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"T": 51,
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| 87 |
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"U": 52,
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"V": 53,
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| 89 |
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"W": 54,
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| 90 |
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"X": 55,
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| 91 |
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"Y": 56,
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| 92 |
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"Z": 57,
|
| 93 |
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"[": 58,
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| 94 |
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"\\": 59,
|
| 95 |
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"]": 60,
|
| 96 |
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"^": 61,
|
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"_": 62,
|
| 98 |
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"`": 63,
|
| 99 |
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"a": 64,
|
| 100 |
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"b": 65,
|
| 101 |
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"c": 66,
|
| 102 |
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"d": 67,
|
| 103 |
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"e": 68,
|
| 104 |
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"f": 69,
|
| 105 |
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"g": 70,
|
| 106 |
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"h": 71,
|
| 107 |
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"i": 72,
|
| 108 |
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"j": 73,
|
| 109 |
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"k": 74,
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| 110 |
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"l": 75,
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| 111 |
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"m": 76,
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| 112 |
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"n": 77,
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| 113 |
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"o": 78,
|
| 114 |
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"p": 79,
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| 115 |
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"q": 80,
|
| 116 |
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"r": 81,
|
| 117 |
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"s": 82,
|
| 118 |
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"t": 83,
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"u": 84,
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"v": 85,
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"w": 86,
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"x": 87,
|
| 123 |
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"y": 88,
|
| 124 |
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"z": 89,
|
| 125 |
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"{": 90,
|
| 126 |
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"|": 91,
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| 127 |
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"}": 92,
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| 128 |
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"~": 93,
|
| 129 |
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"¡": 94,
|
| 130 |
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"¢": 95,
|
| 131 |
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"£": 96,
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| 132 |
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"¤": 97,
|
| 133 |
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"¥": 98,
|
| 134 |
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"¦": 99,
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| 135 |
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"§": 100,
|
| 136 |
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"¨": 101,
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| 137 |
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"©": 102,
|
| 138 |
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"ª": 103,
|
| 139 |
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"«": 104,
|
| 140 |
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"¬": 105,
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| 141 |
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"®": 106,
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| 142 |
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"¯": 107,
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| 143 |
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"°": 108,
|
| 144 |
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"±": 109,
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| 145 |
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"²": 110,
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| 146 |
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"³": 111,
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| 147 |
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"´": 112,
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| 148 |
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"µ": 113,
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| 149 |
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"¶": 114,
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| 150 |
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"·": 115,
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| 151 |
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"¸": 116,
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| 152 |
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"¹": 117,
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| 153 |
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"º": 118,
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| 154 |
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"»": 119,
|
| 155 |
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"¼": 120,
|
| 156 |
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"½": 121,
|
| 157 |
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"¾": 122,
|
| 158 |
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"¿": 123,
|
| 159 |
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"À": 124,
|
| 160 |
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"Á": 125,
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| 161 |
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"Â": 126,
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| 162 |
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"Ã": 127,
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| 163 |
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"Ä": 128,
|
| 164 |
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"Å": 129,
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| 165 |
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"Æ": 130,
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| 166 |
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"Ç": 131,
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| 167 |
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"È": 132,
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| 168 |
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"É": 133,
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| 169 |
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"Ê": 134,
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| 170 |
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"Ë": 135,
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| 171 |
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"Ì": 136,
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| 172 |
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"Í": 137,
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| 173 |
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"Î": 138,
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| 174 |
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"Ï": 139,
|
| 175 |
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"Ð": 140,
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| 176 |
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"Ñ": 141,
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| 177 |
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"Ò": 142,
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| 178 |
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"Ó": 143,
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| 179 |
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| 180 |
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| 181 |
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"Ö": 146,
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| 182 |
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"×": 147,
|
| 183 |
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"Ø": 148,
|
| 184 |
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"Ù": 149,
|
| 185 |
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"Ú": 150,
|
| 186 |
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"Û": 151,
|
| 187 |
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"Ü": 152,
|
| 188 |
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"Ý": 153,
|
| 189 |
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"Þ": 154,
|
| 190 |
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"ß": 155,
|
| 191 |
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"à": 156,
|
| 192 |
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"á": 157,
|
| 193 |
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"â": 158,
|
| 194 |
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"ã": 159,
|
| 195 |
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"ä": 160,
|
| 196 |
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"å": 161,
|
| 197 |
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"æ": 162,
|
| 198 |
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"ç": 163,
|
| 199 |
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"è": 164,
|
| 200 |
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"é": 165,
|
| 201 |
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"ê": 166,
|
| 202 |
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"ë": 167,
|
| 203 |
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"ì": 168,
|
| 204 |
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"í": 169,
|
| 205 |
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"î": 170,
|
| 206 |
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"ï": 171,
|
| 207 |
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"ð": 172,
|
| 208 |
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"ñ": 173,
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| 209 |
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"ò": 174,
|
| 210 |
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"ó": 175,
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| 211 |
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"ô": 176,
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| 212 |
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"õ": 177,
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| 213 |
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"ö": 178,
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| 214 |
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"÷": 179,
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| 215 |
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"ø": 180,
|
| 216 |
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"ù": 181,
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| 217 |
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"ú": 182,
|
| 218 |
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"û": 183,
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| 219 |
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"ü": 184,
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| 220 |
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"ý": 185,
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| 221 |
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"þ": 186,
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| 222 |
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"ÿ": 187,
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| 223 |
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"Ā": 188,
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| 224 |
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"ā": 189,
|
| 225 |
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"Ă": 190,
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| 226 |
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"ă": 191,
|
| 227 |
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"Ą": 192,
|
| 228 |
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"ą": 193,
|
| 229 |
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"Ć": 194,
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| 230 |
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"ć": 195,
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| 231 |
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"Ĉ": 196,
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| 232 |
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| 233 |
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| 234 |
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| 235 |
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| 236 |
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"č": 201,
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| 237 |
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| 238 |
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| 239 |
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"Đ": 204,
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| 240 |
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"đ": 205,
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| 241 |
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"Ē": 206,
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| 242 |
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"ē": 207,
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| 243 |
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"Ĕ": 208,
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| 244 |
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| 245 |
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"Ė": 210,
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| 246 |
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"ė": 211,
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| 247 |
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"Ę": 212,
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| 248 |
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"ę": 213,
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| 249 |
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"Ě": 214,
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| 250 |
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"ě": 215,
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| 251 |
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"Ĝ": 216,
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| 252 |
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| 253 |
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| 254 |
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"ğ": 219,
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| 255 |
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| 256 |
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| 257 |
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|
| 258 |
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"ģ": 223,
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| 259 |
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"Ĥ": 224,
|
| 260 |
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"ĥ": 225,
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| 261 |
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"Ħ": 226,
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| 262 |
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| 263 |
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"Ĩ": 228,
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| 264 |
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|
| 265 |
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"Ī": 230,
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| 266 |
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"ī": 231,
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| 267 |
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|
| 268 |
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"ĭ": 233,
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| 269 |
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"Į": 234,
|
| 270 |
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"į": 235,
|
| 271 |
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"İ": 236,
|
| 272 |
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"ı": 237,
|
| 273 |
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"IJ": 238,
|
| 274 |
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"ij": 239,
|
| 275 |
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"Ĵ": 240,
|
| 276 |
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"ĵ": 241,
|
| 277 |
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"Ķ": 242,
|
| 278 |
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"ķ": 243,
|
| 279 |
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"ĸ": 244,
|
| 280 |
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"Ĺ": 245,
|
| 281 |
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"ĺ": 246,
|
| 282 |
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"Ļ": 247,
|
| 283 |
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"ļ": 248,
|
| 284 |
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"Ľ": 249,
|
| 285 |
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"ľ": 250,
|
| 286 |
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"Ŀ": 251,
|
| 287 |
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"ŀ": 252,
|
| 288 |
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"Ł": 253,
|
| 289 |
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"ł": 254,
|
| 290 |
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"Ń": 255,
|
| 291 |
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"th": 256,
|
| 292 |
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"the": 257,
|
| 293 |
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"Ġthe": 258,
|
| 294 |
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"Ġi": 259,
|
| 295 |
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"Ġa": 260,
|
| 296 |
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"en": 261,
|
| 297 |
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"re": 262,
|
| 298 |
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"Ġo": 263,
|
| 299 |
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"si": 264,
|
| 300 |
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"Ġis": 265,
|
| 301 |
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"al": 266,
|
| 302 |
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"ri": 267,
|
| 303 |
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"at": 268,
|
| 304 |
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"es": 269,
|
| 305 |
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"le": 270,
|
| 306 |
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"on": 271,
|
| 307 |
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"Ġf": 272,
|
| 308 |
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"Ġof": 273,
|
| 309 |
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"nd": 274,
|
| 310 |
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"an": 275,
|
| 311 |
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"he": 276,
|
| 312 |
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"Ġb": 277,
|
| 313 |
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"Ġc": 278,
|
| 314 |
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"Ġe": 279,
|
| 315 |
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"Ġs": 280,
|
| 316 |
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"Ġt": 281,
|
| 317 |
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"Eu": 282,
|
| 318 |
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"ion": 283,
|
| 319 |
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"la": 284,
|
| 320 |
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"mu": 285,
|
| 321 |
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"om": 286,
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| 322 |
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"or": 287,
|
| 323 |
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"ore": 288,
|
| 324 |
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"se": 289,
|
| 325 |
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"ten": 290,
|
| 326 |
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"ĠT": 291,
|
| 327 |
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"Ġsi": 292,
|
| 328 |
+
"ĠEu": 293,
|
| 329 |
+
"Ġand": 294,
|
| 330 |
+
"Ġfu": 295,
|
| 331 |
+
"mula": 296,
|
| 332 |
+
"ormula": 297,
|
| 333 |
+
"Ġsid": 298,
|
| 334 |
+
"'s": 299,
|
| 335 |
+
"ag": 300,
|
| 336 |
+
"et": 301,
|
| 337 |
+
"hy": 302,
|
| 338 |
+
"po": 303,
|
| 339 |
+
"qu": 304,
|
| 340 |
+
"use": 305,
|
| 341 |
+
"Ġ-": 306,
|
| 342 |
+
"Ġ2": 307,
|
| 343 |
+
"Ġl": 308,
|
| 344 |
+
"Ġw": 309,
|
| 345 |
+
"ĠÎ": 310,
|
| 346 |
+
"Ġth": 311,
|
| 347 |
+
"Ġre": 312,
|
| 348 |
+
"ther": 313,
|
| 349 |
+
"Ġin": 314,
|
| 350 |
+
"eng": 315,
|
| 351 |
+
"ent": 316,
|
| 352 |
+
"Ġother": 317,
|
| 353 |
+
"rig": 318,
|
| 354 |
+
"ler": 319,
|
| 355 |
+
"Ġformula": 320,
|
| 356 |
+
"ĠThe": 321,
|
| 357 |
+
"ĠEuler": 322,
|
| 358 |
+
"Ġsides": 323,
|
| 359 |
+
"It": 324,
|
| 360 |
+
"Py": 325,
|
| 361 |
+
"am": 326,
|
| 362 |
+
"are": 327,
|
| 363 |
+
"ct": 328,
|
| 364 |
+
"gle": 329,
|
| 365 |
+
"hi": 330,
|
| 366 |
+
"ht": 331,
|
| 367 |
+
"in": 332,
|
| 368 |
+
"li": 333,
|
| 369 |
+
"lat": 334,
|
| 370 |
+
"nct": 335,
|
| 371 |
+
"ple": 336,
|
| 372 |
+
"ry": 337,
|
| 373 |
+
"um": 338,
|
| 374 |
+
"wo": 339,
|
| 375 |
+
"Ġ+": 340,
|
| 376 |
+
"Ġ=": 341,
|
| 377 |
+
"Ġg": 342,
|
| 378 |
+
"Ġn": 343,
|
| 379 |
+
"Ġhy": 344,
|
| 380 |
+
"Ġrig": 345,
|
| 381 |
+
"ĠIt": 346,
|
| 382 |
+
"ĠPy": 347,
|
| 383 |
+
"thag": 348,
|
| 384 |
+
"Ġan": 349,
|
| 385 |
+
"ndam": 350,
|
| 386 |
+
"here": 351,
|
| 387 |
+
"Ġcom": 352,
|
| 388 |
+
"Ġex": 353,
|
| 389 |
+
"Ġsqu": 354,
|
| 390 |
+
"Ġtwo": 355,
|
| 391 |
+
"ions": 356,
|
| 392 |
+
"omet": 357,
|
| 393 |
+
"orem": 358,
|
| 394 |
+
"orean": 359,
|
| 395 |
+
"tenuse": 360,
|
| 396 |
+
"Ġfunct": 361,
|
| 397 |
+
"Ġfundam": 362,
|
| 398 |
+
"potenuse": 363,
|
| 399 |
+
"Ġleng": 364,
|
| 400 |
+
"Ġwhere": 365,
|
| 401 |
+
"Ġthat": 366,
|
| 402 |
+
"Ġrelat": 367,
|
| 403 |
+
"ental": 368,
|
| 404 |
+
"plex": 369,
|
| 405 |
+
"Ġhypotenuse": 370,
|
| 406 |
+
"Ġright": 371,
|
| 407 |
+
"ĠPythag": 372,
|
| 408 |
+
"Ġcomplex": 373,
|
| 409 |
+
"Ġsquare": 374,
|
| 410 |
+
"Ġfundamental": 375,
|
| 411 |
+
"Ġlength": 376,
|
| 412 |
+
"ĠPythagorean": 377
|
| 413 |
+
},
|
| 414 |
+
"merges": [
|
| 415 |
+
"t h",
|
| 416 |
+
"th e",
|
| 417 |
+
"Ġ the",
|
| 418 |
+
"Ġ i",
|
| 419 |
+
"Ġ a",
|
| 420 |
+
"e n",
|
| 421 |
+
"r e",
|
| 422 |
+
"Ġ o",
|
| 423 |
+
"s i",
|
| 424 |
+
"Ġi s",
|
| 425 |
+
"a l",
|
| 426 |
+
"r i",
|
| 427 |
+
"a t",
|
| 428 |
+
"e s",
|
| 429 |
+
"l e",
|
| 430 |
+
"o n",
|
| 431 |
+
"Ġ f",
|
| 432 |
+
"Ġo f",
|
| 433 |
+
"n d",
|
| 434 |
+
"a n",
|
| 435 |
+
"h e",
|
| 436 |
+
"Ġ b",
|
| 437 |
+
"Ġ c",
|
| 438 |
+
"Ġ e",
|
| 439 |
+
"Ġ s",
|
| 440 |
+
"Ġ t",
|
| 441 |
+
"E u",
|
| 442 |
+
"i on",
|
| 443 |
+
"l a",
|
| 444 |
+
"m u",
|
| 445 |
+
"o m",
|
| 446 |
+
"o r",
|
| 447 |
+
"o re",
|
| 448 |
+
"s e",
|
| 449 |
+
"t en",
|
| 450 |
+
"Ġ T",
|
| 451 |
+
"Ġ si",
|
| 452 |
+
"Ġ Eu",
|
| 453 |
+
"Ġa nd",
|
| 454 |
+
"Ġf u",
|
| 455 |
+
"mu la",
|
| 456 |
+
"or mula",
|
| 457 |
+
"Ġsi d",
|
| 458 |
+
"' s",
|
| 459 |
+
"a g",
|
| 460 |
+
"e t",
|
| 461 |
+
"h y",
|
| 462 |
+
"p o",
|
| 463 |
+
"q u",
|
| 464 |
+
"u se",
|
| 465 |
+
"Ġ -",
|
| 466 |
+
"Ġ 2",
|
| 467 |
+
"Ġ l",
|
| 468 |
+
"Ġ w",
|
| 469 |
+
"Ġ Î",
|
| 470 |
+
"Ġ th",
|
| 471 |
+
"Ġ re",
|
| 472 |
+
"the r",
|
| 473 |
+
"Ġi n",
|
| 474 |
+
"en g",
|
| 475 |
+
"en t",
|
| 476 |
+
"Ġo ther",
|
| 477 |
+
"ri g",
|
| 478 |
+
"le r",
|
| 479 |
+
"Ġf ormula",
|
| 480 |
+
"ĠT he",
|
| 481 |
+
"ĠEu ler",
|
| 482 |
+
"Ġsid es",
|
| 483 |
+
"I t",
|
| 484 |
+
"P y",
|
| 485 |
+
"a m",
|
| 486 |
+
"a re",
|
| 487 |
+
"c t",
|
| 488 |
+
"g le",
|
| 489 |
+
"h i",
|
| 490 |
+
"h t",
|
| 491 |
+
"i n",
|
| 492 |
+
"l i",
|
| 493 |
+
"l at",
|
| 494 |
+
"n ct",
|
| 495 |
+
"p le",
|
| 496 |
+
"r y",
|
| 497 |
+
"u m",
|
| 498 |
+
"w o",
|
| 499 |
+
"Ġ +",
|
| 500 |
+
"Ġ =",
|
| 501 |
+
"Ġ g",
|
| 502 |
+
"Ġ n",
|
| 503 |
+
"Ġ hy",
|
| 504 |
+
"Ġ rig",
|
| 505 |
+
"Ġ It",
|
| 506 |
+
"Ġ Py",
|
| 507 |
+
"th ag",
|
| 508 |
+
"Ġa n",
|
| 509 |
+
"nd am",
|
| 510 |
+
"he re",
|
| 511 |
+
"Ġc om",
|
| 512 |
+
"Ġe x",
|
| 513 |
+
"Ġs qu",
|
| 514 |
+
"Ġt wo",
|
| 515 |
+
"ion s",
|
| 516 |
+
"om et",
|
| 517 |
+
"ore m",
|
| 518 |
+
"ore an",
|
| 519 |
+
"ten use",
|
| 520 |
+
"Ġfu nct",
|
| 521 |
+
"Ġfu ndam",
|
| 522 |
+
"po tenuse",
|
| 523 |
+
"Ġl eng",
|
| 524 |
+
"Ġw here",
|
| 525 |
+
"Ġth at",
|
| 526 |
+
"Ġre lat",
|
| 527 |
+
"ent al",
|
| 528 |
+
"ple x",
|
| 529 |
+
"Ġhy potenuse",
|
| 530 |
+
"Ġrig ht",
|
| 531 |
+
"ĠPy thag",
|
| 532 |
+
"Ġcom plex",
|
| 533 |
+
"Ġsqu are",
|
| 534 |
+
"Ġfundam ental",
|
| 535 |
+
"Ġleng th",
|
| 536 |
+
"ĠPythag orean"
|
| 537 |
+
]
|
| 538 |
+
}
|
| 539 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {},
|
| 3 |
+
"clean_up_tokenization_spaces": true,
|
| 4 |
+
"merges_file": "./openwebmath_tokenizer/merges.txt",
|
| 5 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 6 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
| 7 |
+
"vocab_file": "./openwebmath_tokenizer/vocab.json"
|
| 8 |
+
}
|