End of training
Browse files- README.md +72 -0
- added_tokens.json +237 -0
- config.json +41 -0
- emissions.csv +2 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Mar05_09-18-40_242a585e5d70/events.out.tfevents.1709630321.242a585e5d70.457.0 +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1938 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: apache-2.0
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base_model: climatebert/distilroberta-base-climate-f
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tags:
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- generated_from_trainer
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model-index:
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- name: TAPP-multilabel-climatebert
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# TAPP-multilabel-climatebert
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This model is a fine-tuned version of [climatebert/distilroberta-base-climate-f](https://huggingface.co/climatebert/distilroberta-base-climate-f) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6527
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- Precision-micro: 0.7368
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- Precision-samples: 0.7425
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- Precision-weighted: 0.7469
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- Recall-micro: 0.8044
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- Recall-samples: 0.7744
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- Recall-weighted: 0.8044
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- F1-micro: 0.7691
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- F1-samples: 0.7384
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- F1-weighted: 0.7721
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3.06e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 200
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision-micro | Precision-samples | Precision-weighted | Recall-micro | Recall-samples | Recall-weighted | F1-micro | F1-samples | F1-weighted |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:-----------------:|:------------------:|:------------:|:--------------:|:---------------:|:--------:|:----------:|:-----------:|
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| 0.7627 | 0.8 | 500 | 0.6471 | 0.6232 | 0.6727 | 0.6384 | 0.7989 | 0.7741 | 0.7989 | 0.7002 | 0.6929 | 0.7062 |
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| 0.5542 | 1.59 | 1000 | 0.6114 | 0.6393 | 0.6754 | 0.6671 | 0.8154 | 0.7833 | 0.8154 | 0.7167 | 0.6999 | 0.7279 |
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| 0.4219 | 2.39 | 1500 | 0.6145 | 0.7196 | 0.7236 | 0.7311 | 0.7989 | 0.7645 | 0.7989 | 0.7572 | 0.7231 | 0.7613 |
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| 0.3268 | 3.19 | 2000 | 0.6363 | 0.7272 | 0.7383 | 0.7358 | 0.8053 | 0.7738 | 0.8053 | 0.7643 | 0.7374 | 0.7672 |
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| 0.2477 | 3.99 | 2500 | 0.6509 | 0.7315 | 0.7351 | 0.7439 | 0.8007 | 0.7689 | 0.8007 | 0.7646 | 0.7319 | 0.7686 |
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| 0.1989 | 4.78 | 3000 | 0.6527 | 0.7368 | 0.7425 | 0.7469 | 0.8044 | 0.7744 | 0.8044 | 0.7691 | 0.7384 | 0.7721 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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added_tokens.json
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
237 |
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}
|
config.json
ADDED
@@ -0,0 +1,41 @@
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|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "climatebert/distilroberta-base-climate-f",
|
3 |
+
"architectures": [
|
4 |
+
"RobertaForSequenceClassification"
|
5 |
+
],
|
6 |
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|
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|
8 |
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"classifier_dropout": null,
|
9 |
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"eos_token_id": 2,
|
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"gradient_checkpointing": false,
|
11 |
+
"hidden_act": "gelu",
|
12 |
+
"hidden_dropout_prob": 0.1,
|
13 |
+
"hidden_size": 768,
|
14 |
+
"id2label": {
|
15 |
+
"0": "ActionLabel",
|
16 |
+
"1": "PlansLabel",
|
17 |
+
"2": "PolicyLabel",
|
18 |
+
"3": "TargetLabel"
|
19 |
+
},
|
20 |
+
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|
21 |
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"intermediate_size": 3072,
|
22 |
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|
23 |
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|
24 |
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|
25 |
+
"PolicyLabel": 2,
|
26 |
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"TargetLabel": 3
|
27 |
+
},
|
28 |
+
"layer_norm_eps": 1e-05,
|
29 |
+
"max_position_embeddings": 514,
|
30 |
+
"model_type": "roberta",
|
31 |
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"num_attention_heads": 12,
|
32 |
+
"num_hidden_layers": 6,
|
33 |
+
"pad_token_id": 1,
|
34 |
+
"position_embedding_type": "absolute",
|
35 |
+
"problem_type": "multi_label_classification",
|
36 |
+
"torch_dtype": "float32",
|
37 |
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"transformers_version": "4.38.1",
|
38 |
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"type_vocab_size": 1,
|
39 |
+
"use_cache": true,
|
40 |
+
"vocab_size": 50500
|
41 |
+
}
|
emissions.csv
ADDED
@@ -0,0 +1,2 @@
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|
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|
1 |
+
timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
|
2 |
+
2024-03-05T09:48:58,codecarbon,ffd1dd7f-93fc-4033-8021-516711812b9b,1816.3415369987488,0.022737216831122984,1.2518139550281422e-05,42.5,47.34950499264718,4.753046035766602,0.02143205235484574,0.034669198846448,0.0023939889341390653,0.05849524013543276,The Netherlands,NLD,groningen,,,Linux-6.1.58+-x86_64-with-glibc2.35,3.10.12,2.3.4,2,Intel(R) Xeon(R) CPU @ 2.00GHz,1,1 x Tesla T4,6.5765,53.2157,12.674789428710938,machine,N,1.0
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:a388e29e35d8efbd0ad5a2579d3c385dafd25b6b369d2ee070ad7902ddd502e9
|
3 |
+
size 329220352
|
runs/Mar05_09-18-40_242a585e5d70/events.out.tfevents.1709630321.242a585e5d70.457.0
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:7aa9708e97c266e37a8abe2bea1ae0cc186ea0413bef8111a9df0f7d2e4751f3
|
3 |
+
size 11321
|
special_tokens_map.json
ADDED
@@ -0,0 +1,51 @@
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|
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|
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|
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|
6 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
15 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
30 |
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|
31 |
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|
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|
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|
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|
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|
36 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
50 |
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|
51 |
+
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|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,1938 @@
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|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<s>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "<pad>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": "</s>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": "<unk>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"50264": {
|
37 |
+
"content": "<mask>",
|
38 |
+
"lstrip": true,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"50265": {
|
45 |
+
"content": "CO2",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": true,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": false
|
51 |
+
},
|
52 |
+
"50266": {
|
53 |
+
"content": "emissions",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": true,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": false
|
59 |
+
},
|
60 |
+
"50267": {
|
61 |
+
"content": "’",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": true,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": false
|
67 |
+
},
|
68 |
+
"50268": {
|
69 |
+
"content": "temperature",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": true,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": false
|
75 |
+
},
|
76 |
+
"50269": {
|
77 |
+
"content": "environmental",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": true,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": false
|
83 |
+
},
|
84 |
+
"50270": {
|
85 |
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1027 |
+
},
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1028 |
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1029 |
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1030 |
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1031 |
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1032 |
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1033 |
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1034 |
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1035 |
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},
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1036 |
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1037 |
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"content": "caused",
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1038 |
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1039 |
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1040 |
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1041 |
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1042 |
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1043 |
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},
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1044 |
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1045 |
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1046 |
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1047 |
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1048 |
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1049 |
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1050 |
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"special": false
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1051 |
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},
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1052 |
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1053 |
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1054 |
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1055 |
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1056 |
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1057 |
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1058 |
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"special": false
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1059 |
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},
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1060 |
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1061 |
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1062 |
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1063 |
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1064 |
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1065 |
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1066 |
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1067 |
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},
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1068 |
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1069 |
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1070 |
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1071 |
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1072 |
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1073 |
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1074 |
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1075 |
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},
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1076 |
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1077 |
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1078 |
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1079 |
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1080 |
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1081 |
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1082 |
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"special": false
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1083 |
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},
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1084 |
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|
1085 |
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1086 |
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1087 |
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1088 |
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1089 |
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1090 |
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1091 |
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},
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1092 |
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1093 |
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1094 |
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1095 |
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1096 |
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1097 |
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1098 |
+
"special": false
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1099 |
+
},
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1100 |
+
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|
1101 |
+
"content": "GHG",
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1102 |
+
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|
1103 |
+
"normalized": true,
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1104 |
+
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1105 |
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1106 |
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"special": false
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1107 |
+
},
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1108 |
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|
1109 |
+
"content": "materials",
|
1110 |
+
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|
1111 |
+
"normalized": true,
|
1112 |
+
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1113 |
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1114 |
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"special": false
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1115 |
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},
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1116 |
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1117 |
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1118 |
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1119 |
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1120 |
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1121 |
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1122 |
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1123 |
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},
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1124 |
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|
1125 |
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1126 |
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1127 |
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1128 |
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1129 |
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1130 |
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"special": false
|
1131 |
+
},
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1132 |
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|
1133 |
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1134 |
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1135 |
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1136 |
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1137 |
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1138 |
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"special": false
|
1139 |
+
},
|
1140 |
+
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|
1141 |
+
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|
1142 |
+
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|
1143 |
+
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1144 |
+
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1145 |
+
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|
1146 |
+
"special": false
|
1147 |
+
},
|
1148 |
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|
1149 |
+
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|
1150 |
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|
1151 |
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|
1152 |
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|
1153 |
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|
1154 |
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"special": false
|
1155 |
+
},
|
1156 |
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|
1157 |
+
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1158 |
+
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1159 |
+
"normalized": true,
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1160 |
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1161 |
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1162 |
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"special": false
|
1163 |
+
},
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1164 |
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|
1165 |
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"content": "nitrogen",
|
1166 |
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1167 |
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1168 |
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1169 |
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|
1170 |
+
"special": false
|
1171 |
+
},
|
1172 |
+
"50406": {
|
1173 |
+
"content": "forests",
|
1174 |
+
"lstrip": false,
|
1175 |
+
"normalized": true,
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1176 |
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1177 |
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1178 |
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"special": false
|
1179 |
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},
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1180 |
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|
1181 |
+
"content": "trend",
|
1182 |
+
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|
1183 |
+
"normalized": true,
|
1184 |
+
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1185 |
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1186 |
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"special": false
|
1187 |
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},
|
1188 |
+
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|
1189 |
+
"content": "estimates",
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1190 |
+
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1191 |
+
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1192 |
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1193 |
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1194 |
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"special": false
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1195 |
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},
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1196 |
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1197 |
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"content": "towards",
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1198 |
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1199 |
+
"normalized": true,
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1200 |
+
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1201 |
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1202 |
+
"special": false
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1203 |
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},
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1204 |
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"50410": {
|
1205 |
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"content": "Committee",
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1206 |
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1207 |
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1208 |
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1209 |
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1210 |
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"special": false
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1211 |
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},
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1212 |
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|
1213 |
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1214 |
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1215 |
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1216 |
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1217 |
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1218 |
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1219 |
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},
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1220 |
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1221 |
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1222 |
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1223 |
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1224 |
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1225 |
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1226 |
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"special": false
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1227 |
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},
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1228 |
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|
1229 |
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1230 |
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1231 |
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1232 |
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1233 |
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1234 |
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"special": false
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1235 |
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},
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1236 |
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|
1237 |
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1238 |
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1239 |
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1240 |
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1241 |
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1242 |
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"special": false
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1243 |
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},
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1244 |
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|
1245 |
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"content": "tropical",
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1246 |
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1247 |
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1248 |
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1249 |
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1250 |
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"special": false
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1251 |
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},
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1252 |
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|
1253 |
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1254 |
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|
1255 |
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1256 |
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1257 |
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1258 |
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"special": false
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1259 |
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},
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1260 |
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|
1261 |
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"content": "2030",
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1262 |
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|
1263 |
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1264 |
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1265 |
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1266 |
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"special": false
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1267 |
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},
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1268 |
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"50418": {
|
1269 |
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"content": "composition",
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1270 |
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"lstrip": false,
|
1271 |
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"normalized": true,
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1272 |
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1273 |
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|
1274 |
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"special": false
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1275 |
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},
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1276 |
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|
1277 |
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"content": "employees",
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1278 |
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1279 |
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1280 |
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1281 |
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1282 |
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"special": false
|
1283 |
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},
|
1284 |
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"50420": {
|
1285 |
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"content": "characteristics",
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1286 |
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|
1287 |
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"normalized": true,
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1288 |
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1289 |
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|
1290 |
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"special": false
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1291 |
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},
|
1292 |
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"50421": {
|
1293 |
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"content": "scenario",
|
1294 |
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"lstrip": false,
|
1295 |
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"normalized": true,
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1296 |
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1297 |
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1298 |
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"special": false
|
1299 |
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},
|
1300 |
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"50422": {
|
1301 |
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"content": "measurements",
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1302 |
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|
1303 |
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"normalized": true,
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1304 |
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1305 |
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1306 |
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"special": false
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1307 |
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},
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1308 |
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"50423": {
|
1309 |
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"content": "plans",
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1310 |
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"lstrip": false,
|
1311 |
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"normalized": true,
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1312 |
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"rstrip": false,
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1313 |
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1314 |
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"special": false
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1315 |
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},
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1316 |
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"50424": {
|
1317 |
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"content": "fuels",
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1318 |
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"lstrip": false,
|
1319 |
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"normalized": true,
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1320 |
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1321 |
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1322 |
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"special": false
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1323 |
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},
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1324 |
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"50425": {
|
1325 |
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"content": "infrastructure",
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1326 |
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"lstrip": false,
|
1327 |
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"normalized": true,
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1328 |
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1329 |
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1330 |
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"special": false
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1331 |
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},
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1332 |
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"50426": {
|
1333 |
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1334 |
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|
1335 |
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1336 |
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1337 |
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1338 |
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"special": false
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1339 |
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},
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1340 |
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|
1341 |
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1342 |
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|
1343 |
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1344 |
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1345 |
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1346 |
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"special": false
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1347 |
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},
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1348 |
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|
1349 |
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"content": "presented",
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1350 |
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"lstrip": false,
|
1351 |
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"normalized": true,
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1352 |
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1353 |
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1354 |
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"special": false
|
1355 |
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},
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1356 |
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|
1357 |
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"content": "least",
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1358 |
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|
1359 |
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"normalized": true,
|
1360 |
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1361 |
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1362 |
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"special": false
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1363 |
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},
|
1364 |
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|
1365 |
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1366 |
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"lstrip": false,
|
1367 |
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"normalized": true,
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1368 |
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1369 |
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1370 |
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"special": false
|
1371 |
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},
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1372 |
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"50431": {
|
1373 |
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"content": "diversity",
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1374 |
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"lstrip": false,
|
1375 |
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"normalized": true,
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1376 |
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1377 |
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1378 |
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"special": false
|
1379 |
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},
|
1380 |
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"50432": {
|
1381 |
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"content": "periods",
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1382 |
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"lstrip": false,
|
1383 |
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"normalized": true,
|
1384 |
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"rstrip": false,
|
1385 |
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1386 |
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"special": false
|
1387 |
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},
|
1388 |
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"50433": {
|
1389 |
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"content": "delta",
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1390 |
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"lstrip": false,
|
1391 |
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"normalized": true,
|
1392 |
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|
1393 |
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1394 |
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"special": false
|
1395 |
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},
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1396 |
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|
1397 |
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1398 |
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1399 |
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"normalized": true,
|
1400 |
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1401 |
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|
1402 |
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"special": false
|
1403 |
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},
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1404 |
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1405 |
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1406 |
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1407 |
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1408 |
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1409 |
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1410 |
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"special": false
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1411 |
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},
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1412 |
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|
1413 |
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"content": "targets",
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1414 |
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1415 |
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"normalized": true,
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1416 |
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1417 |
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1418 |
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"special": false
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1419 |
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},
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1420 |
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"50437": {
|
1421 |
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"content": "achieve",
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1422 |
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|
1423 |
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"normalized": true,
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1424 |
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1425 |
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1426 |
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1427 |
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1428 |
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|
1429 |
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1430 |
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1431 |
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1432 |
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1433 |
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1434 |
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"special": false
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1435 |
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},
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1436 |
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|
1437 |
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1438 |
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1439 |
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1440 |
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1441 |
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1442 |
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"special": false
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1443 |
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},
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1444 |
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"50440": {
|
1445 |
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1446 |
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1447 |
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1448 |
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1449 |
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1450 |
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"special": false
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1451 |
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1452 |
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|
1453 |
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"content": "populations",
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1454 |
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"lstrip": false,
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1455 |
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"normalized": true,
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1456 |
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1457 |
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1458 |
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"special": false
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1459 |
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1460 |
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1461 |
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"content": "variations",
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1462 |
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1463 |
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"normalized": true,
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1464 |
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1465 |
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1466 |
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1467 |
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1468 |
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1469 |
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"content": "studied",
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1470 |
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"lstrip": false,
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1471 |
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"normalized": true,
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1472 |
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1473 |
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1474 |
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"special": false
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1475 |
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"bos_token": "<s>",
|
1926 |
+
"clean_up_tokenization_spaces": true,
|
1927 |
+
"cls_token": "<s>",
|
1928 |
+
"eos_token": "</s>",
|
1929 |
+
"errors": "replace",
|
1930 |
+
"mask_token": "<mask>",
|
1931 |
+
"model_max_length": 512,
|
1932 |
+
"pad_token": "<pad>",
|
1933 |
+
"problem_type": "multi_label_classification",
|
1934 |
+
"sep_token": "</s>",
|
1935 |
+
"tokenizer_class": "RobertaTokenizer",
|
1936 |
+
"trim_offsets": true,
|
1937 |
+
"unk_token": "<unk>"
|
1938 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:29c9d3a7bbd3eb37880657e83ef606a800b9f3e2e4f737c84974a7e39f602b58
|
3 |
+
size 4920
|
vocab.json
ADDED
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|
|