Upload model v0.1
Browse files# TXT2BPMN Model
## Model Description
TXT2BPMN is a fine-tuned version of the T5-Small model, designed for the extraction of BPMN (Business Process Model and Notation) diagrams from textual descriptions. This AI-driven approach leverages advanced language modeling techniques to transform natural language descriptions into BPMN models, facilitating the modernization and automation of business processes.
## Key Features
- **Language Model Base**: T5-Small, known for its efficiency and efficacy in understanding and generating text.
- **Specialization**: Fine-tuned specifically for BPMN generation, improving accuracy and relevancy in business process modeling.
- **Dataset**: Trained on a comprehensive dataset consisting of 30,000 pairs of text descriptions and corresponding BPMN diagrams, ensuring diverse exposure to various business process scenarios.
## Applications
- **Business Process Management**: Automates the generation of BPMN diagrams, which are crucial for documenting and improving business workflows.
- **AI Research and Development**: Provides a research basis for further exploration into the integration of NLP and business process management.
- **Educational Tool**: Assists in teaching the concepts of BPMN and AI's role in business process automation.
## Configuration
- **Pre-trained Model**: Google's T5-Small
- **Training Environment**: Utilized a dataset from "MaD: A Dataset for Interview-based BPM in Business Process Management" for training and validation.
- **Hardware Used**: Intel Core i7 with 24 GB RAM and Intel HD Graphics 630.
## Usage
The model is intended for use by developers, researchers, and business analysts interested in automating BPMN generation from textual descriptions. It can be integrated into business software systems or used in standalone applications for process modeling.
## Model Performance
The model has shown promising results in terms of syntactic integrity and logical fidelity in the generated BPMN diagrams. Detailed performance metrics and evaluations are included in the full project documentation.
## Installation and Requirements
The model can be accessed and installed via the Hugging Face model hub. Requirements for using this model include Python 3.6 or newer and access to a machine with adequate computational capabilities to run inference with the T5 architecture.
## How to Use
For detailed instructions on how to integrate and use the TXT2BPMN model in your projects, please refer to the official documentation available in the model's repository on Hugging Face.
## Contributions
Developed by Omar El Fachati as part of a Master's thesis. The project was supervised by academic and industry professionals.
## Contact Information
For further assistance or collaboration opportunities, contact me on my [LinkedIn](https://www.linkedin.com/in/fachati/).
- added_tokens.json +102 -0
- config.json +61 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer_config.json +940 -0
added_tokens.json
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}
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config.json
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{
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"_name_or_path": "t5-small",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 512,
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"decoder_start_token_id": 0,
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"dense_act_fn": "relu",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "relu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": false,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 6,
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"num_heads": 8,
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"num_layers": 6,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 200,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarize: "
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},
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"translation_en_to_de": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to German: "
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},
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.38.0",
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"use_cache": true,
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"vocab_size": 32128
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}
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.38.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d3b68b33b4e8c476012155709b25307af67f8d478630f4bb9a485fffa8d9a26
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size 242041896
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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"<extra_id_1>",
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"<extra_id_2>",
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"<extra_id_3>",
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"<extra_id_4>",
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"<extra_id_5>",
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"<extra_id_6>",
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"<extra_id_7>",
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"<extra_id_8>",
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"<extra_id_9>",
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"<extra_id_10>",
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"<extra_id_11>",
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"<extra_id_12>",
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"<extra_id_13>",
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"<extra_id_14>",
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"<extra_id_15>",
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"<extra_id_16>",
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"<extra_id_19>",
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"<extra_id_20>",
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"<extra_id_21>",
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"<extra_id_22>",
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"<extra_id_23>",
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| 27 |
+
"<extra_id_24>",
|
| 28 |
+
"<extra_id_25>",
|
| 29 |
+
"<extra_id_26>",
|
| 30 |
+
"<extra_id_27>",
|
| 31 |
+
"<extra_id_28>",
|
| 32 |
+
"<extra_id_29>",
|
| 33 |
+
"<extra_id_30>",
|
| 34 |
+
"<extra_id_31>",
|
| 35 |
+
"<extra_id_32>",
|
| 36 |
+
"<extra_id_33>",
|
| 37 |
+
"<extra_id_34>",
|
| 38 |
+
"<extra_id_35>",
|
| 39 |
+
"<extra_id_36>",
|
| 40 |
+
"<extra_id_37>",
|
| 41 |
+
"<extra_id_38>",
|
| 42 |
+
"<extra_id_39>",
|
| 43 |
+
"<extra_id_40>",
|
| 44 |
+
"<extra_id_41>",
|
| 45 |
+
"<extra_id_42>",
|
| 46 |
+
"<extra_id_43>",
|
| 47 |
+
"<extra_id_44>",
|
| 48 |
+
"<extra_id_45>",
|
| 49 |
+
"<extra_id_46>",
|
| 50 |
+
"<extra_id_47>",
|
| 51 |
+
"<extra_id_48>",
|
| 52 |
+
"<extra_id_49>",
|
| 53 |
+
"<extra_id_50>",
|
| 54 |
+
"<extra_id_51>",
|
| 55 |
+
"<extra_id_52>",
|
| 56 |
+
"<extra_id_53>",
|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": {
|
| 105 |
+
"content": "</s>",
|
| 106 |
+
"lstrip": false,
|
| 107 |
+
"normalized": false,
|
| 108 |
+
"rstrip": false,
|
| 109 |
+
"single_word": false
|
| 110 |
+
},
|
| 111 |
+
"pad_token": {
|
| 112 |
+
"content": "<pad>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"unk_token": {
|
| 119 |
+
"content": "<unk>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
}
|
| 125 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,940 @@
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| 1 |
+
{
|
| 2 |
+
"add_prefix_space": true,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<pad>",
|
| 6 |
+
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|
| 7 |
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|
| 8 |
+
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|
| 9 |
+
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|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "</s>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
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"2": {
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
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"32000": {
|
| 29 |
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"content": "<extra_id_99>",
|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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"single_word": false,
|
| 34 |
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"special": true
|
| 35 |
+
},
|
| 36 |
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"32001": {
|
| 37 |
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"content": "<extra_id_98>",
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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"content": "<extra_id_97>",
|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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"content": "<extra_id_96>",
|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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"special": true
|
| 67 |
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|
| 68 |
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|
| 69 |
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"content": "<extra_id_94>",
|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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"special": true
|
| 75 |
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},
|
| 76 |
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|
| 77 |
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"content": "<extra_id_93>",
|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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"special": true
|
| 83 |
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|
| 84 |
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|
| 85 |
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"content": "<extra_id_92>",
|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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},
|
| 92 |
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|
| 93 |
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"content": "<extra_id_91>",
|
| 94 |
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|
| 95 |
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"normalized": false,
|
| 96 |
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|
| 97 |
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"single_word": false,
|
| 98 |
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"special": true
|
| 99 |
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},
|
| 100 |
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"32009": {
|
| 101 |
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"content": "<extra_id_90>",
|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
+
"special": true
|
| 107 |
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},
|
| 108 |
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|
| 109 |
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"content": "<extra_id_89>",
|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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"special": true
|
| 115 |
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},
|
| 116 |
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|
| 117 |
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"content": "<extra_id_88>",
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
+
},
|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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"special": true
|
| 147 |
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},
|
| 148 |
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|
| 149 |
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"content": "<extra_id_84>",
|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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"special": true
|
| 155 |
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},
|
| 156 |
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"32016": {
|
| 157 |
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"content": "<extra_id_83>",
|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
+
},
|
| 164 |
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|
| 165 |
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"content": "<extra_id_82>",
|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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},
|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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"content": "<extra_id_80>",
|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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},
|
| 196 |
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"32021": {
|
| 197 |
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"content": "<extra_id_78>",
|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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},
|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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| 232 |
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| 233 |
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| 234 |
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|
| 235 |
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| 236 |
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|
| 237 |
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|
| 238 |
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| 239 |
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| 240 |
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| 241 |
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| 242 |
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|
| 243 |
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| 244 |
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|
| 245 |
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|
| 246 |
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| 247 |
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| 248 |
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| 249 |
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| 250 |
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| 251 |
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| 252 |
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|
| 253 |
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|
| 254 |
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| 255 |
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| 256 |
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| 258 |
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| 259 |
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| 260 |
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| 261 |
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|
| 262 |
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| 263 |
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| 264 |
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| 265 |
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| 266 |
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| 267 |
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| 268 |
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|
| 269 |
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|
| 270 |
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| 271 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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|
| 277 |
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|
| 278 |
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| 279 |
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| 280 |
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| 281 |
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| 282 |
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| 283 |
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| 284 |
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|
| 285 |
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|
| 286 |
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| 287 |
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| 288 |
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| 289 |
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| 290 |
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| 291 |
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| 292 |
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|
| 293 |
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|
| 294 |
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| 295 |
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| 297 |
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| 298 |
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| 299 |
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| 300 |
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| 301 |
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|
| 302 |
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| 303 |
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|
| 741 |
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| 742 |
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| 743 |
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| 744 |
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| 746 |
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| 747 |
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| 748 |
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|
| 749 |
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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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|
| 757 |
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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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|
| 765 |
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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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| 771 |
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| 772 |
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| 773 |
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| 774 |
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| 775 |
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| 778 |
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| 779 |
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},
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| 780 |
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|
| 781 |
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| 782 |
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| 786 |
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| 787 |
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| 788 |
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| 789 |
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| 790 |
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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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| 803 |
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},
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| 804 |
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| 805 |
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| 806 |
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| 807 |
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| 809 |
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| 810 |
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| 811 |
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},
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| 812 |
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| 813 |
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| 814 |
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| 817 |
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| 818 |
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| 819 |
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},
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| 820 |
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| 821 |
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| 822 |
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| 823 |
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| 824 |
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| 825 |
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| 826 |
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| 827 |
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}
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| 828 |
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},
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| 829 |
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| 830 |
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| 831 |
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| 832 |
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| 833 |
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| 834 |
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| 837 |
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| 838 |
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| 839 |
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| 840 |
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| 841 |
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| 850 |
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| 856 |
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| 857 |
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| 859 |
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| 860 |
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| 861 |
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| 862 |
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| 863 |
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| 864 |
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| 865 |
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| 866 |
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| 867 |
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| 868 |
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| 869 |
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| 870 |
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| 871 |
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| 872 |
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| 874 |
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| 875 |
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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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| 884 |
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| 886 |
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| 888 |
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| 890 |
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| 894 |
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| 895 |
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| 896 |
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| 900 |
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| 903 |
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| 904 |
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| 906 |
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| 907 |
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| 908 |
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| 909 |
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| 910 |
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| 911 |
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| 912 |
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| 913 |
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| 914 |
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| 915 |
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| 916 |
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| 917 |
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| 918 |
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| 919 |
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| 920 |
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| 921 |
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| 922 |
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| 923 |
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| 924 |
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| 925 |
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| 926 |
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| 927 |
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| 928 |
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"<extra_id_98>",
|
| 929 |
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"<extra_id_99>"
|
| 930 |
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],
|
| 931 |
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|
| 932 |
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"eos_token": "</s>",
|
| 933 |
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"extra_ids": 100,
|
| 934 |
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"legacy": true,
|
| 935 |
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"model_max_length": 512,
|
| 936 |
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"pad_token": "<pad>",
|
| 937 |
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"sp_model_kwargs": {},
|
| 938 |
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"tokenizer_class": "T5Tokenizer",
|
| 939 |
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"unk_token": "<unk>"
|
| 940 |
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}
|