Upload processor
Browse files- README.md +199 -0
- preprocessor_config.json +26 -0
- processor_config.json +5 -0
- special_tokens_map.json +53 -0
- tokenizer.json +0 -0
- tokenizer_config.json +889 -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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preprocessor_config.json
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{
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"do_convert_rgb": true,
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"do_image_splitting": 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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"image_mean": [
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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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"image_processor_type": "Idefics2ImageProcessor",
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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": "Idefics2Processor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 980,
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"shortest_edge": 378
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}
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}
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processor_config.json
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{
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"chat_template": "{% for message in messages %}{{message['role'].capitalize()}}{% if message['content'][0]['type'] == 'image' %}{{':'}}{% else %}{{': '}}{% endif %}{% for line in message['content'] %}{% if line['type'] == 'text' %}{{line['text']}}{% elif line['type'] == 'image' %}{{ '<image>' }}{% endif %}{% endfor %}<end_of_utterance>\n{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}",
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"image_seq_len": 64,
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"processor_class": "Idefics2Processor"
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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{
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"content": "<fake_token_around_image>",
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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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"content": "<image>",
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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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"content": "<end_of_utterance>",
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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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"bos_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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"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": "<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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"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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tokenizer.json
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tokenizer_config.json
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|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "<fake_token_around_image>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<image>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": true
|
45 |
+
},
|
46 |
+
"32002": {
|
47 |
+
"content": "<end_of_utterance>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": true
|
53 |
+
},
|
54 |
+
"32003": {
|
55 |
+
"content": "<s_booking_id>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": true
|
61 |
+
},
|
62 |
+
"32004": {
|
63 |
+
"content": "</s_booking_id>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"32005": {
|
71 |
+
"content": "<s_client>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"32006": {
|
79 |
+
"content": "</s_client>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"32007": {
|
87 |
+
"content": "<s_VAT_number>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"32008": {
|
95 |
+
"content": "</s_VAT_number>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": false,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"32009": {
|
103 |
+
"content": "<s_company_name>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": false,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"32010": {
|
111 |
+
"content": "</s_company_name>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
},
|
118 |
+
"32011": {
|
119 |
+
"content": "<s_address>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": true
|
125 |
+
},
|
126 |
+
"32012": {
|
127 |
+
"content": "</s_address>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": false,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": true
|
133 |
+
},
|
134 |
+
"32013": {
|
135 |
+
"content": "<s_line1>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": false,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": true
|
141 |
+
},
|
142 |
+
"32014": {
|
143 |
+
"content": "</s_line1>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": false,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": true
|
149 |
+
},
|
150 |
+
"32015": {
|
151 |
+
"content": "<s_line2>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": false,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": true
|
157 |
+
},
|
158 |
+
"32016": {
|
159 |
+
"content": "</s_line2>",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": false,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": true
|
165 |
+
},
|
166 |
+
"32017": {
|
167 |
+
"content": "<s_city>",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": false,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": true
|
173 |
+
},
|
174 |
+
"32018": {
|
175 |
+
"content": "</s_city>",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": false,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": true
|
181 |
+
},
|
182 |
+
"32019": {
|
183 |
+
"content": "<s_state>",
|
184 |
+
"lstrip": false,
|
185 |
+
"normalized": false,
|
186 |
+
"rstrip": false,
|
187 |
+
"single_word": false,
|
188 |
+
"special": true
|
189 |
+
},
|
190 |
+
"32020": {
|
191 |
+
"content": "</s_state>",
|
192 |
+
"lstrip": false,
|
193 |
+
"normalized": false,
|
194 |
+
"rstrip": false,
|
195 |
+
"single_word": false,
|
196 |
+
"special": true
|
197 |
+
},
|
198 |
+
"32021": {
|
199 |
+
"content": "<s_postal_code>",
|
200 |
+
"lstrip": false,
|
201 |
+
"normalized": false,
|
202 |
+
"rstrip": false,
|
203 |
+
"single_word": false,
|
204 |
+
"special": true
|
205 |
+
},
|
206 |
+
"32022": {
|
207 |
+
"content": "</s_postal_code>",
|
208 |
+
"lstrip": false,
|
209 |
+
"normalized": false,
|
210 |
+
"rstrip": false,
|
211 |
+
"single_word": false,
|
212 |
+
"special": true
|
213 |
+
},
|
214 |
+
"32023": {
|
215 |
+
"content": "<s_country>",
|
216 |
+
"lstrip": false,
|
217 |
+
"normalized": false,
|
218 |
+
"rstrip": false,
|
219 |
+
"single_word": false,
|
220 |
+
"special": true
|
221 |
+
},
|
222 |
+
"32024": {
|
223 |
+
"content": "</s_country>",
|
224 |
+
"lstrip": false,
|
225 |
+
"normalized": false,
|
226 |
+
"rstrip": false,
|
227 |
+
"single_word": false,
|
228 |
+
"special": true
|
229 |
+
},
|
230 |
+
"32025": {
|
231 |
+
"content": "<s_phone_number>",
|
232 |
+
"lstrip": false,
|
233 |
+
"normalized": false,
|
234 |
+
"rstrip": false,
|
235 |
+
"single_word": false,
|
236 |
+
"special": true
|
237 |
+
},
|
238 |
+
"32026": {
|
239 |
+
"content": "</s_phone_number>",
|
240 |
+
"lstrip": false,
|
241 |
+
"normalized": false,
|
242 |
+
"rstrip": false,
|
243 |
+
"single_word": false,
|
244 |
+
"special": true
|
245 |
+
},
|
246 |
+
"32027": {
|
247 |
+
"content": "<s_email_address>",
|
248 |
+
"lstrip": false,
|
249 |
+
"normalized": false,
|
250 |
+
"rstrip": false,
|
251 |
+
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|
252 |
+
"special": true
|
253 |
+
},
|
254 |
+
"32028": {
|
255 |
+
"content": "</s_email_address>",
|
256 |
+
"lstrip": false,
|
257 |
+
"normalized": false,
|
258 |
+
"rstrip": false,
|
259 |
+
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|
260 |
+
"special": true
|
261 |
+
},
|
262 |
+
"32029": {
|
263 |
+
"content": "<s_shipments>",
|
264 |
+
"lstrip": false,
|
265 |
+
"normalized": false,
|
266 |
+
"rstrip": false,
|
267 |
+
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|
268 |
+
"special": true
|
269 |
+
},
|
270 |
+
"32030": {
|
271 |
+
"content": "</s_shipments>",
|
272 |
+
"lstrip": false,
|
273 |
+
"normalized": false,
|
274 |
+
"rstrip": false,
|
275 |
+
"single_word": false,
|
276 |
+
"special": true
|
277 |
+
},
|
278 |
+
"32031": {
|
279 |
+
"content": "<s_shipment_id>",
|
280 |
+
"lstrip": false,
|
281 |
+
"normalized": false,
|
282 |
+
"rstrip": false,
|
283 |
+
"single_word": false,
|
284 |
+
"special": true
|
285 |
+
},
|
286 |
+
"32032": {
|
287 |
+
"content": "</s_shipment_id>",
|
288 |
+
"lstrip": false,
|
289 |
+
"normalized": false,
|
290 |
+
"rstrip": false,
|
291 |
+
"single_word": false,
|
292 |
+
"special": true
|
293 |
+
},
|
294 |
+
"32033": {
|
295 |
+
"content": "<s_sender>",
|
296 |
+
"lstrip": false,
|
297 |
+
"normalized": false,
|
298 |
+
"rstrip": false,
|
299 |
+
"single_word": false,
|
300 |
+
"special": true
|
301 |
+
},
|
302 |
+
"32034": {
|
303 |
+
"content": "</s_sender>",
|
304 |
+
"lstrip": false,
|
305 |
+
"normalized": false,
|
306 |
+
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|
307 |
+
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|
308 |
+
"special": true
|
309 |
+
},
|
310 |
+
"32035": {
|
311 |
+
"content": "<s_observations>",
|
312 |
+
"lstrip": false,
|
313 |
+
"normalized": false,
|
314 |
+
"rstrip": false,
|
315 |
+
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|
316 |
+
"special": true
|
317 |
+
},
|
318 |
+
"32036": {
|
319 |
+
"content": "</s_observations>",
|
320 |
+
"lstrip": false,
|
321 |
+
"normalized": false,
|
322 |
+
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|
323 |
+
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|
324 |
+
"special": true
|
325 |
+
},
|
326 |
+
"32037": {
|
327 |
+
"content": "<s_pickup_datetime>",
|
328 |
+
"lstrip": false,
|
329 |
+
"normalized": false,
|
330 |
+
"rstrip": false,
|
331 |
+
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|
332 |
+
"special": true
|
333 |
+
},
|
334 |
+
"32038": {
|
335 |
+
"content": "</s_pickup_datetime>",
|
336 |
+
"lstrip": false,
|
337 |
+
"normalized": false,
|
338 |
+
"rstrip": false,
|
339 |
+
"single_word": false,
|
340 |
+
"special": true
|
341 |
+
},
|
342 |
+
"32039": {
|
343 |
+
"content": "<s_date>",
|
344 |
+
"lstrip": false,
|
345 |
+
"normalized": false,
|
346 |
+
"rstrip": false,
|
347 |
+
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|
348 |
+
"special": true
|
349 |
+
},
|
350 |
+
"32040": {
|
351 |
+
"content": "</s_date>",
|
352 |
+
"lstrip": false,
|
353 |
+
"normalized": false,
|
354 |
+
"rstrip": false,
|
355 |
+
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|
356 |
+
"special": true
|
357 |
+
},
|
358 |
+
"32041": {
|
359 |
+
"content": "<s_start_time>",
|
360 |
+
"lstrip": false,
|
361 |
+
"normalized": false,
|
362 |
+
"rstrip": false,
|
363 |
+
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|
364 |
+
"special": true
|
365 |
+
},
|
366 |
+
"32042": {
|
367 |
+
"content": "</s_start_time>",
|
368 |
+
"lstrip": false,
|
369 |
+
"normalized": false,
|
370 |
+
"rstrip": false,
|
371 |
+
"single_word": false,
|
372 |
+
"special": true
|
373 |
+
},
|
374 |
+
"32043": {
|
375 |
+
"content": "<s_end_time>",
|
376 |
+
"lstrip": false,
|
377 |
+
"normalized": false,
|
378 |
+
"rstrip": false,
|
379 |
+
"single_word": false,
|
380 |
+
"special": true
|
381 |
+
},
|
382 |
+
"32044": {
|
383 |
+
"content": "</s_end_time>",
|
384 |
+
"lstrip": false,
|
385 |
+
"normalized": false,
|
386 |
+
"rstrip": false,
|
387 |
+
"single_word": false,
|
388 |
+
"special": true
|
389 |
+
},
|
390 |
+
"32045": {
|
391 |
+
"content": "<s_recipient>",
|
392 |
+
"lstrip": false,
|
393 |
+
"normalized": false,
|
394 |
+
"rstrip": false,
|
395 |
+
"single_word": false,
|
396 |
+
"special": true
|
397 |
+
},
|
398 |
+
"32046": {
|
399 |
+
"content": "</s_recipient>",
|
400 |
+
"lstrip": false,
|
401 |
+
"normalized": false,
|
402 |
+
"rstrip": false,
|
403 |
+
"single_word": false,
|
404 |
+
"special": true
|
405 |
+
},
|
406 |
+
"32047": {
|
407 |
+
"content": "<s_delivery_datetime>",
|
408 |
+
"lstrip": false,
|
409 |
+
"normalized": false,
|
410 |
+
"rstrip": false,
|
411 |
+
"single_word": false,
|
412 |
+
"special": true
|
413 |
+
},
|
414 |
+
"32048": {
|
415 |
+
"content": "</s_delivery_datetime>",
|
416 |
+
"lstrip": false,
|
417 |
+
"normalized": false,
|
418 |
+
"rstrip": false,
|
419 |
+
"single_word": false,
|
420 |
+
"special": true
|
421 |
+
},
|
422 |
+
"32049": {
|
423 |
+
"content": "<s_goods>",
|
424 |
+
"lstrip": false,
|
425 |
+
"normalized": false,
|
426 |
+
"rstrip": false,
|
427 |
+
"single_word": false,
|
428 |
+
"special": true
|
429 |
+
},
|
430 |
+
"32050": {
|
431 |
+
"content": "</s_goods>",
|
432 |
+
"lstrip": false,
|
433 |
+
"normalized": false,
|
434 |
+
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|
435 |
+
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|
436 |
+
"special": true
|
437 |
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},
|
438 |
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"32051": {
|
439 |
+
"content": "<s_packing>",
|
440 |
+
"lstrip": false,
|
441 |
+
"normalized": false,
|
442 |
+
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|
443 |
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|
444 |
+
"special": true
|
445 |
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},
|
446 |
+
"32052": {
|
447 |
+
"content": "</s_packing>",
|
448 |
+
"lstrip": false,
|
449 |
+
"normalized": false,
|
450 |
+
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|
451 |
+
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|
452 |
+
"special": true
|
453 |
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},
|
454 |
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|
455 |
+
"content": "<s_packing_type>",
|
456 |
+
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|
457 |
+
"normalized": false,
|
458 |
+
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|
459 |
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|
460 |
+
"special": true
|
461 |
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},
|
462 |
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|
463 |
+
"content": "</s_packing_type>",
|
464 |
+
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|
465 |
+
"normalized": false,
|
466 |
+
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|
467 |
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|
468 |
+
"special": true
|
469 |
+
},
|
470 |
+
"32055": {
|
471 |
+
"content": "<s_units>",
|
472 |
+
"lstrip": false,
|
473 |
+
"normalized": false,
|
474 |
+
"rstrip": false,
|
475 |
+
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|
476 |
+
"special": true
|
477 |
+
},
|
478 |
+
"32056": {
|
479 |
+
"content": "</s_units>",
|
480 |
+
"lstrip": false,
|
481 |
+
"normalized": false,
|
482 |
+
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|
483 |
+
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|
484 |
+
"special": true
|
485 |
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},
|
486 |
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|
487 |
+
"content": "<s_observation>",
|
488 |
+
"lstrip": false,
|
489 |
+
"normalized": false,
|
490 |
+
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|
491 |
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|
492 |
+
"special": true
|
493 |
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},
|
494 |
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"32058": {
|
495 |
+
"content": "</s_observation>",
|
496 |
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"lstrip": false,
|
497 |
+
"normalized": false,
|
498 |
+
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|
499 |
+
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|
500 |
+
"special": true
|
501 |
+
},
|
502 |
+
"32059": {
|
503 |
+
"content": "<s_number_eur_pallet>",
|
504 |
+
"lstrip": false,
|
505 |
+
"normalized": false,
|
506 |
+
"rstrip": false,
|
507 |
+
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|
508 |
+
"special": true
|
509 |
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},
|
510 |
+
"32060": {
|
511 |
+
"content": "</s_number_eur_pallet>",
|
512 |
+
"lstrip": false,
|
513 |
+
"normalized": false,
|
514 |
+
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|
515 |
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|
516 |
+
"special": true
|
517 |
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},
|
518 |
+
"32061": {
|
519 |
+
"content": "<s_weight>",
|
520 |
+
"lstrip": false,
|
521 |
+
"normalized": false,
|
522 |
+
"rstrip": false,
|
523 |
+
"single_word": false,
|
524 |
+
"special": true
|
525 |
+
},
|
526 |
+
"32062": {
|
527 |
+
"content": "</s_weight>",
|
528 |
+
"lstrip": false,
|
529 |
+
"normalized": false,
|
530 |
+
"rstrip": false,
|
531 |
+
"single_word": false,
|
532 |
+
"special": true
|
533 |
+
},
|
534 |
+
"32063": {
|
535 |
+
"content": "<s_dimensions>",
|
536 |
+
"lstrip": false,
|
537 |
+
"normalized": false,
|
538 |
+
"rstrip": false,
|
539 |
+
"single_word": false,
|
540 |
+
"special": true
|
541 |
+
},
|
542 |
+
"32064": {
|
543 |
+
"content": "</s_dimensions>",
|
544 |
+
"lstrip": false,
|
545 |
+
"normalized": false,
|
546 |
+
"rstrip": false,
|
547 |
+
"single_word": false,
|
548 |
+
"special": true
|
549 |
+
},
|
550 |
+
"32065": {
|
551 |
+
"content": "<s_loading_meters>",
|
552 |
+
"lstrip": false,
|
553 |
+
"normalized": false,
|
554 |
+
"rstrip": false,
|
555 |
+
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|
556 |
+
"special": true
|
557 |
+
},
|
558 |
+
"32066": {
|
559 |
+
"content": "</s_loading_meters>",
|
560 |
+
"lstrip": false,
|
561 |
+
"normalized": false,
|
562 |
+
"rstrip": false,
|
563 |
+
"single_word": false,
|
564 |
+
"special": true
|
565 |
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},
|
566 |
+
"32067": {
|
567 |
+
"content": "<s_length>",
|
568 |
+
"lstrip": false,
|
569 |
+
"normalized": false,
|
570 |
+
"rstrip": false,
|
571 |
+
"single_word": false,
|
572 |
+
"special": true
|
573 |
+
},
|
574 |
+
"32068": {
|
575 |
+
"content": "</s_length>",
|
576 |
+
"lstrip": false,
|
577 |
+
"normalized": false,
|
578 |
+
"rstrip": false,
|
579 |
+
"single_word": false,
|
580 |
+
"special": true
|
581 |
+
},
|
582 |
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"32069": {
|
583 |
+
"content": "<s_width>",
|
584 |
+
"lstrip": false,
|
585 |
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"normalized": false,
|
586 |
+
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|
587 |
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|
588 |
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"special": true
|
589 |
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},
|
590 |
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"32070": {
|
591 |
+
"content": "</s_width>",
|
592 |
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"lstrip": false,
|
593 |
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"normalized": false,
|
594 |
+
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|
595 |
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|
596 |
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"special": true
|
597 |
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},
|
598 |
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|
599 |
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"content": "<s_height>",
|
600 |
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"lstrip": false,
|
601 |
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"normalized": false,
|
602 |
+
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|
603 |
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"single_word": false,
|
604 |
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"special": true
|
605 |
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},
|
606 |
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"32072": {
|
607 |
+
"content": "</s_height>",
|
608 |
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"lstrip": false,
|
609 |
+
"normalized": false,
|
610 |
+
"rstrip": false,
|
611 |
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"single_word": false,
|
612 |
+
"special": true
|
613 |
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},
|
614 |
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"32073": {
|
615 |
+
"content": "<s_volume>",
|
616 |
+
"lstrip": false,
|
617 |
+
"normalized": false,
|
618 |
+
"rstrip": false,
|
619 |
+
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|
620 |
+
"special": true
|
621 |
+
},
|
622 |
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"32074": {
|
623 |
+
"content": "</s_volume>",
|
624 |
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"lstrip": false,
|
625 |
+
"normalized": false,
|
626 |
+
"rstrip": false,
|
627 |
+
"single_word": false,
|
628 |
+
"special": true
|
629 |
+
},
|
630 |
+
"32075": {
|
631 |
+
"content": "<s_temperature_infos>",
|
632 |
+
"lstrip": false,
|
633 |
+
"normalized": false,
|
634 |
+
"rstrip": false,
|
635 |
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"single_word": false,
|
636 |
+
"special": true
|
637 |
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},
|
638 |
+
"32076": {
|
639 |
+
"content": "</s_temperature_infos>",
|
640 |
+
"lstrip": false,
|
641 |
+
"normalized": false,
|
642 |
+
"rstrip": false,
|
643 |
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"single_word": false,
|
644 |
+
"special": true
|
645 |
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},
|
646 |
+
"32077": {
|
647 |
+
"content": "<s_dangerous_goods_infos>",
|
648 |
+
"lstrip": false,
|
649 |
+
"normalized": false,
|
650 |
+
"rstrip": false,
|
651 |
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"single_word": false,
|
652 |
+
"special": true
|
653 |
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},
|
654 |
+
"32078": {
|
655 |
+
"content": "</s_dangerous_goods_infos>",
|
656 |
+
"lstrip": false,
|
657 |
+
"normalized": false,
|
658 |
+
"rstrip": false,
|
659 |
+
"single_word": false,
|
660 |
+
"special": true
|
661 |
+
},
|
662 |
+
"32079": {
|
663 |
+
"content": "<s_transport_constraints>",
|
664 |
+
"lstrip": false,
|
665 |
+
"normalized": false,
|
666 |
+
"rstrip": false,
|
667 |
+
"single_word": false,
|
668 |
+
"special": true
|
669 |
+
},
|
670 |
+
"32080": {
|
671 |
+
"content": "</s_transport_constraints>",
|
672 |
+
"lstrip": false,
|
673 |
+
"normalized": false,
|
674 |
+
"rstrip": false,
|
675 |
+
"single_word": false,
|
676 |
+
"special": true
|
677 |
+
},
|
678 |
+
"32081": {
|
679 |
+
"content": "<s_vehicle_type>",
|
680 |
+
"lstrip": false,
|
681 |
+
"normalized": false,
|
682 |
+
"rstrip": false,
|
683 |
+
"single_word": false,
|
684 |
+
"special": true
|
685 |
+
},
|
686 |
+
"32082": {
|
687 |
+
"content": "</s_vehicle_type>",
|
688 |
+
"lstrip": false,
|
689 |
+
"normalized": false,
|
690 |
+
"rstrip": false,
|
691 |
+
"single_word": false,
|
692 |
+
"special": true
|
693 |
+
},
|
694 |
+
"32083": {
|
695 |
+
"content": "<s_body_type>",
|
696 |
+
"lstrip": false,
|
697 |
+
"normalized": false,
|
698 |
+
"rstrip": false,
|
699 |
+
"single_word": false,
|
700 |
+
"special": true
|
701 |
+
},
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702 |
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703 |
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704 |
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709 |
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710 |
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711 |
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712 |
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713 |
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719 |
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721 |
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726 |
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727 |
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728 |
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729 |
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735 |
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736 |
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737 |
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740 |
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741 |
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742 |
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743 |
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744 |
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745 |
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746 |
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747 |
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750 |
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751 |
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752 |
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753 |
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754 |
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755 |
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756 |
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758 |
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759 |
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760 |
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761 |
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762 |
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763 |
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764 |
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766 |
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767 |
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768 |
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769 |
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770 |
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772 |
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773 |
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774 |
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775 |
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776 |
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777 |
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778 |
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780 |
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781 |
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782 |
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783 |
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784 |
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785 |
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788 |
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789 |
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790 |
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791 |
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792 |
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793 |
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794 |
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795 |
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796 |
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797 |
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798 |
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799 |
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800 |
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801 |
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802 |
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804 |
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805 |
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806 |
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807 |
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808 |
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809 |
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810 |
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811 |
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815 |
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816 |
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817 |
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821 |
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823 |
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824 |
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825 |
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831 |
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839 |
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840 |
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841 |
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842 |
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847 |
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852 |
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853 |
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854 |
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855 |
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856 |
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857 |
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858 |
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861 |
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863 |
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864 |
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865 |
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866 |
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868 |
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870 |
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},
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871 |
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872 |
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873 |
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874 |
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875 |
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],
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876 |
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877 |
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878 |
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879 |
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880 |
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881 |
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882 |
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883 |
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884 |
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885 |
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886 |
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887 |
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888 |
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889 |
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}
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