Add BERTopic model
Browse files- README.md +86 -0
- config.json +16 -0
- ctfidf.safetensors +3 -0
- ctfidf_config.json +0 -0
- topic_embeddings.safetensors +3 -0
- topics.json +2118 -0
README.md
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---
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tags:
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- bertopic
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library_name: bertopic
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pipeline_tag: text-classification
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---
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# MARTINI_enrich_BERTopic_awakenedworlduk
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
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## Usage
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To use this model, please install BERTopic:
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```
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pip install -U bertopic
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```
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You can use the model as follows:
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```python
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from bertopic import BERTopic
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topic_model = BERTopic.load("AIDA-UPM/MARTINI_enrich_BERTopic_awakenedworlduk")
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topic_model.get_topic_info()
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```
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## Topic overview
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* Number of topics: 17
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* Number of training documents: 1610
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<details>
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<summary>Click here for an overview of all topics.</summary>
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| Topic ID | Topic Keywords | Topic Frequency | Label |
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|----------|----------------|-----------------|-------|
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| -1 | trauma - eyes - dr - helps - everyone | 20 | -1_trauma_eyes_dr_helps |
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| 0 | vaccinated - pfizer - jabs - monkeypox - mandates | 882 | 0_vaccinated_pfizer_jabs_monkeypox |
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| 1 | canning - pantry - cooker - survival - lentils | 151 | 1_canning_pantry_cooker_survival |
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| 2 | awakening - consciousness - souls - reality - darkness | 76 | 2_awakening_consciousness_souls_reality |
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| 3 | safeguarding - abused - offences - chancellor - libraries | 54 | 3_safeguarding_abused_offences_chancellor |
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| 4 | brainwashed - bonkers - watched - sovereign - cnn | 49 | 4_brainwashed_bonkers_watched_sovereign |
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| 5 | channel - banned - subscribers - awakened - lol | 49 | 5_channel_banned_subscribers_awakened |
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| 6 | mugwort - echinacea - tinctures - antioxidants - medicinal | 47 | 6_mugwort_echinacea_tinctures_antioxidants |
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| 7 | vegetables - cabbages - radishes - lettuces - sowing | 39 | 7_vegetables_cabbages_radishes_lettuces |
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| 8 | ukraine - shortages - petrol - skyrocketing - electricity | 38 | 8_ukraine_shortages_petrol_skyrocketing |
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| 9 | methylfolate - statins - niacin - magnesium - mitochondria | 37 | 9_methylfolate_statins_niacin_magnesium |
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| 10 | toothpaste - shampoo - rinse - peppermint - ingredients | 34 | 10_toothpaste_shampoo_rinse_peppermint |
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| 11 | nhs - carers - euthanasia - consent - mca | 30 | 11_nhs_carers_euthanasia_consent |
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| 12 | transglutaminase - additives - carcinogenic - meat - benzalkonium | 29 | 12_transglutaminase_additives_carcinogenic_meat |
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| 13 | savetheseeds - gmo - allotment - farmers - shropshire | 29 | 13_savetheseeds_gmo_allotment_farmers |
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| 14 | kwh - gas - charges - october - suppliers | 25 | 14_kwh_gas_charges_october |
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| 15 | propolis - antimicrobial - ointment - wound - candida | 21 | 15_propolis_antimicrobial_ointment_wound |
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</details>
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## Training hyperparameters
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* calculate_probabilities: True
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* language: None
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* low_memory: False
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* min_topic_size: 10
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* n_gram_range: (1, 1)
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* nr_topics: None
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* seed_topic_list: None
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* top_n_words: 10
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* verbose: False
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* zeroshot_min_similarity: 0.7
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* zeroshot_topic_list: None
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## Framework versions
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* Numpy: 1.26.4
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* HDBSCAN: 0.8.40
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* UMAP: 0.5.7
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* Pandas: 2.2.3
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* Scikit-Learn: 1.5.2
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* Sentence-transformers: 3.3.1
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* Transformers: 4.46.3
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* Numba: 0.60.0
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* Plotly: 5.24.1
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* Python: 3.10.12
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config.json
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{
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"calculate_probabilities": true,
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"language": null,
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"low_memory": false,
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"min_topic_size": 10,
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"n_gram_range": [
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1,
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1
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],
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"nr_topics": null,
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"seed_topic_list": null,
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"top_n_words": 10,
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"verbose": false,
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"zeroshot_min_similarity": 0.7,
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"zeroshot_topic_list": null
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}
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ctfidf.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5cf84627890d257f402c1a1dbdec409f61d5dc6f8c8a60e5e16b9394b09c3079
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size 421704
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ctfidf_config.json
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The diff for this file is too large to render.
See raw diff
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topic_embeddings.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4eda7badae089987174ccd1bf45a20854e7d3d52faa4daeca3165c27843e71b8
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size 69720
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topics.json
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|
| 1 |
+
{
|
| 2 |
+
"topic_representations": {
|
| 3 |
+
"-1": [
|
| 4 |
+
[
|
| 5 |
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"trauma",
|
| 6 |
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0.5301521420478821
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| 7 |
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],
|
| 8 |
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[
|
| 9 |
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"eyes",
|
| 10 |
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0.48514485359191895
|
| 11 |
+
],
|
| 12 |
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[
|
| 13 |
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"dr",
|
| 14 |
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0.47980576753616333
|
| 15 |
+
],
|
| 16 |
+
[
|
| 17 |
+
"helps",
|
| 18 |
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0.47868794202804565
|
| 19 |
+
],
|
| 20 |
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[
|
| 21 |
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"everyone",
|
| 22 |
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0.4749396741390228
|
| 23 |
+
]
|
| 24 |
+
],
|
| 25 |
+
"0": [
|
| 26 |
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[
|
| 27 |
+
"vaccinated",
|
| 28 |
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0.6534254550933838
|
| 29 |
+
],
|
| 30 |
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[
|
| 31 |
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"pfizer",
|
| 32 |
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0.5437675714492798
|
| 33 |
+
],
|
| 34 |
+
[
|
| 35 |
+
"jabs",
|
| 36 |
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0.5165939927101135
|
| 37 |
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],
|
| 38 |
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[
|
| 39 |
+
"monkeypox",
|
| 40 |
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0.4954620599746704
|
| 41 |
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],
|
| 42 |
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[
|
| 43 |
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"mandates",
|
| 44 |
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0.46282342076301575
|
| 45 |
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]
|
| 46 |
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],
|
| 47 |
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"1": [
|
| 48 |
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[
|
| 49 |
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"canning",
|
| 50 |
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0.53404301404953
|
| 51 |
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],
|
| 52 |
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[
|
| 53 |
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"pantry",
|
| 54 |
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0.5308009386062622
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| 55 |
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],
|
| 56 |
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[
|
| 57 |
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"cooker",
|
| 58 |
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0.5224127769470215
|
| 59 |
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],
|
| 60 |
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[
|
| 61 |
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"survival",
|
| 62 |
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0.482424795627594
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| 63 |
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],
|
| 64 |
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[
|
| 65 |
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"lentils",
|
| 66 |
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0.4677651524543762
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| 67 |
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]
|
| 68 |
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],
|
| 69 |
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"2": [
|
| 70 |
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[
|
| 71 |
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"awakening",
|
| 72 |
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0.6087945699691772
|
| 73 |
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],
|
| 74 |
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[
|
| 75 |
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"consciousness",
|
| 76 |
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0.558638870716095
|
| 77 |
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],
|
| 78 |
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[
|
| 79 |
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"souls",
|
| 80 |
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0.5320844054222107
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| 81 |
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],
|
| 82 |
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[
|
| 83 |
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"reality",
|
| 84 |
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0.5274991989135742
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| 85 |
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],
|
| 86 |
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[
|
| 87 |
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"darkness",
|
| 88 |
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0.519092857837677
|
| 89 |
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|
| 90 |
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],
|
| 91 |
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"3": [
|
| 92 |
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[
|
| 93 |
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"safeguarding",
|
| 94 |
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0.5525312423706055
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| 95 |
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| 600 |
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-1,
|
| 601 |
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|
| 602 |
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0,
|
| 603 |
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5,
|
| 604 |
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|
| 605 |
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5,
|
| 606 |
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|
| 607 |
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7,
|
| 608 |
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11,
|
| 609 |
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|
| 610 |
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1,
|
| 611 |
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0,
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| 612 |
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|
| 614 |
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|
| 615 |
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13,
|
| 616 |
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|
| 617 |
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-1,
|
| 618 |
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1,
|
| 619 |
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1,
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| 620 |
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13,
|
| 621 |
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|
| 622 |
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-1,
|
| 623 |
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1,
|
| 624 |
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7,
|
| 625 |
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|
| 626 |
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-1,
|
| 627 |
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8,
|
| 628 |
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5,
|
| 629 |
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|
| 630 |
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|
| 631 |
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|
| 632 |
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-1,
|
| 633 |
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|
| 634 |
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6,
|
| 635 |
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0,
|
| 636 |
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|
| 637 |
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|
| 638 |
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|
| 639 |
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-1,
|
| 640 |
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|
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10,
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10,
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| 645 |
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5,
|
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13,
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| 648 |
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13,
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| 649 |
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13,
|
| 650 |
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13,
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| 651 |
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13,
|
| 652 |
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2,
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| 653 |
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2,
|
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|
| 655 |
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9,
|
| 656 |
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|
| 657 |
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|
| 658 |
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-1,
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| 659 |
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12,
|
| 660 |
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12,
|
| 661 |
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0,
|
| 662 |
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|
| 663 |
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| 664 |
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9,
|
| 665 |
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| 666 |
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| 667 |
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|
| 668 |
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|
| 669 |
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-1,
|
| 670 |
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-1,
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-1,
|
| 672 |
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-1,
|
| 673 |
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13,
|
| 674 |
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9,
|
| 675 |
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|
| 676 |
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-1,
|
| 677 |
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12,
|
| 678 |
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12,
|
| 679 |
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|
| 680 |
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-1,
|
| 681 |
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-1,
|
| 682 |
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-1,
|
| 683 |
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-1,
|
| 684 |
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-1,
|
| 685 |
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15,
|
| 686 |
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10,
|
| 687 |
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|
| 688 |
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|
| 689 |
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-1,
|
| 690 |
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2,
|
| 691 |
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7,
|
| 692 |
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7,
|
| 693 |
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|
| 694 |
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11,
|
| 695 |
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-1,
|
| 696 |
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11,
|
| 697 |
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-1,
|
| 698 |
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-1,
|
| 699 |
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-1,
|
| 700 |
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-1,
|
| 701 |
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-1,
|
| 702 |
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9,
|
| 703 |
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8,
|
| 704 |
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15,
|
| 705 |
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-1,
|
| 706 |
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-1,
|
| 707 |
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-1,
|
| 708 |
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9,
|
| 709 |
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6,
|
| 710 |
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6,
|
| 711 |
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6,
|
| 712 |
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5,
|
| 713 |
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-1,
|
| 714 |
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5,
|
| 715 |
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5,
|
| 716 |
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-1,
|
| 717 |
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-1,
|
| 718 |
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-1,
|
| 719 |
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-1,
|
| 720 |
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-1,
|
| 721 |
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-1,
|
| 722 |
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-1,
|
| 723 |
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4,
|
| 724 |
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-1,
|
| 725 |
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9,
|
| 726 |
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-1,
|
| 727 |
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-1,
|
| 728 |
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-1,
|
| 729 |
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15,
|
| 730 |
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9,
|
| 731 |
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-1,
|
| 732 |
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9,
|
| 733 |
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9,
|
| 734 |
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-1,
|
| 735 |
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-1,
|
| 736 |
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-1,
|
| 737 |
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15,
|
| 738 |
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-1,
|
| 739 |
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0,
|
| 740 |
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-1,
|
| 741 |
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2,
|
| 742 |
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-1,
|
| 743 |
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9,
|
| 744 |
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-1,
|
| 745 |
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-1,
|
| 746 |
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4,
|
| 747 |
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9,
|
| 748 |
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0,
|
| 749 |
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-1,
|
| 750 |
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-1,
|
| 751 |
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-1,
|
| 752 |
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-1,
|
| 753 |
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-1,
|
| 754 |
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-1,
|
| 755 |
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-1,
|
| 756 |
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-1,
|
| 757 |
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-1,
|
| 758 |
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-1,
|
| 759 |
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-1,
|
| 760 |
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-1,
|
| 761 |
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4,
|
| 762 |
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6,
|
| 763 |
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-1,
|
| 764 |
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-1,
|
| 765 |
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-1,
|
| 766 |
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-1,
|
| 767 |
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-1,
|
| 768 |
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-1,
|
| 769 |
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-1,
|
| 770 |
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2,
|
| 771 |
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-1,
|
| 772 |
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-1,
|
| 773 |
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1,
|
| 774 |
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1,
|
| 775 |
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2,
|
| 776 |
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-1,
|
| 777 |
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-1,
|
| 778 |
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1,
|
| 779 |
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-1,
|
| 780 |
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-1,
|
| 781 |
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-1,
|
| 782 |
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-1,
|
| 783 |
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-1,
|
| 784 |
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-1,
|
| 785 |
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-1,
|
| 786 |
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7,
|
| 787 |
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7,
|
| 788 |
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-1,
|
| 789 |
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6,
|
| 790 |
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-1,
|
| 791 |
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4,
|
| 792 |
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2,
|
| 793 |
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-1,
|
| 794 |
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-1,
|
| 795 |
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5,
|
| 796 |
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5,
|
| 797 |
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-1,
|
| 798 |
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-1,
|
| 799 |
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5,
|
| 800 |
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-1,
|
| 801 |
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9,
|
| 802 |
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-1,
|
| 803 |
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-1,
|
| 804 |
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9,
|
| 805 |
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9,
|
| 806 |
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-1,
|
| 807 |
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-1,
|
| 808 |
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-1,
|
| 809 |
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1,
|
| 810 |
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1,
|
| 811 |
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0,
|
| 812 |
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-1,
|
| 813 |
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6,
|
| 814 |
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-1,
|
| 815 |
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8,
|
| 816 |
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-1,
|
| 817 |
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15,
|
| 818 |
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1,
|
| 819 |
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1,
|
| 820 |
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0,
|
| 821 |
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2,
|
| 822 |
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5,
|
| 823 |
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2,
|
| 824 |
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-1,
|
| 825 |
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-1,
|
| 826 |
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9,
|
| 827 |
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-1,
|
| 828 |
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-1,
|
| 829 |
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8,
|
| 830 |
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-1,
|
| 831 |
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-1,
|
| 832 |
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-1,
|
| 833 |
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-1,
|
| 834 |
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4,
|
| 835 |
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2,
|
| 836 |
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4,
|
| 837 |
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-1,
|
| 838 |
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-1,
|
| 839 |
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-1,
|
| 840 |
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-1,
|
| 841 |
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-1,
|
| 842 |
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1,
|
| 843 |
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8,
|
| 844 |
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-1,
|
| 845 |
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1,
|
| 846 |
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-1,
|
| 847 |
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1,
|
| 848 |
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1,
|
| 849 |
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-1,
|
| 850 |
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1,
|
| 851 |
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-1,
|
| 852 |
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4,
|
| 853 |
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-1,
|
| 854 |
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-1,
|
| 855 |
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3,
|
| 856 |
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14,
|
| 857 |
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1,
|
| 858 |
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-1,
|
| 859 |
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-1,
|
| 860 |
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-1,
|
| 861 |
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-1,
|
| 862 |
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-1,
|
| 863 |
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-1,
|
| 864 |
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1,
|
| 865 |
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-1,
|
| 866 |
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-1,
|
| 867 |
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-1,
|
| 868 |
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1,
|
| 869 |
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-1,
|
| 870 |
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-1,
|
| 871 |
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1,
|
| 872 |
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14,
|
| 873 |
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14,
|
| 874 |
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-1,
|
| 875 |
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15,
|
| 876 |
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1,
|
| 877 |
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10,
|
| 878 |
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-1,
|
| 879 |
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2,
|
| 880 |
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2,
|
| 881 |
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2,
|
| 882 |
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2,
|
| 883 |
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1,
|
| 884 |
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5,
|
| 885 |
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-1,
|
| 886 |
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-1,
|
| 887 |
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-1,
|
| 888 |
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4,
|
| 889 |
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8,
|
| 890 |
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5,
|
| 891 |
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-1,
|
| 892 |
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-1,
|
| 893 |
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-1,
|
| 894 |
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-1,
|
| 895 |
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10,
|
| 896 |
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-1,
|
| 897 |
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-1,
|
| 898 |
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-1,
|
| 899 |
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-1,
|
| 900 |
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-1,
|
| 901 |
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1,
|
| 902 |
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1,
|
| 903 |
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14,
|
| 904 |
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14,
|
| 905 |
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-1,
|
| 906 |
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-1,
|
| 907 |
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-1,
|
| 908 |
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1,
|
| 909 |
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1,
|
| 910 |
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2,
|
| 911 |
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8,
|
| 912 |
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4,
|
| 913 |
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2,
|
| 914 |
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-1,
|
| 915 |
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-1,
|
| 916 |
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-1,
|
| 917 |
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-1,
|
| 918 |
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1,
|
| 919 |
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-1,
|
| 920 |
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-1,
|
| 921 |
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-1,
|
| 922 |
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-1,
|
| 923 |
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5,
|
| 924 |
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1,
|
| 925 |
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1,
|
| 926 |
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0,
|
| 927 |
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0,
|
| 928 |
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-1,
|
| 929 |
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8,
|
| 930 |
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-1,
|
| 931 |
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-1,
|
| 932 |
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-1,
|
| 933 |
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-1,
|
| 934 |
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14,
|
| 935 |
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14,
|
| 936 |
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1,
|
| 937 |
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1,
|
| 938 |
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5,
|
| 939 |
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1,
|
| 940 |
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-1,
|
| 941 |
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1,
|
| 942 |
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-1,
|
| 943 |
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2,
|
| 944 |
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5,
|
| 945 |
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7,
|
| 946 |
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4,
|
| 947 |
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1,
|
| 948 |
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6,
|
| 949 |
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4,
|
| 950 |
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5,
|
| 951 |
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1,
|
| 952 |
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11,
|
| 953 |
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5,
|
| 954 |
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5,
|
| 955 |
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11,
|
| 956 |
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1,
|
| 957 |
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5,
|
| 958 |
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-1,
|
| 959 |
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-1,
|
| 960 |
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5,
|
| 961 |
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5,
|
| 962 |
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5,
|
| 963 |
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-1,
|
| 964 |
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5,
|
| 965 |
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5,
|
| 966 |
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5,
|
| 967 |
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0,
|
| 968 |
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-1,
|
| 969 |
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-1,
|
| 970 |
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0,
|
| 971 |
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-1,
|
| 972 |
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3,
|
| 973 |
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8,
|
| 974 |
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-1,
|
| 975 |
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-1,
|
| 976 |
+
3,
|
| 977 |
+
3,
|
| 978 |
+
3,
|
| 979 |
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3,
|
| 980 |
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-1,
|
| 981 |
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-1,
|
| 982 |
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-1,
|
| 983 |
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-1,
|
| 984 |
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-1,
|
| 985 |
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0,
|
| 986 |
+
0,
|
| 987 |
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3,
|
| 988 |
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4,
|
| 989 |
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0,
|
| 990 |
+
0,
|
| 991 |
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3,
|
| 992 |
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3,
|
| 993 |
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3,
|
| 994 |
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3,
|
| 995 |
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3,
|
| 996 |
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3,
|
| 997 |
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3,
|
| 998 |
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-1,
|
| 999 |
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3,
|
| 1000 |
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3,
|
| 1001 |
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3,
|
| 1002 |
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3,
|
| 1003 |
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3,
|
| 1004 |
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3,
|
| 1005 |
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3,
|
| 1006 |
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3,
|
| 1007 |
+
3,
|
| 1008 |
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3,
|
| 1009 |
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-1,
|
| 1010 |
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0,
|
| 1011 |
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11,
|
| 1012 |
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0,
|
| 1013 |
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0,
|
| 1014 |
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-1,
|
| 1015 |
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-1,
|
| 1016 |
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-1,
|
| 1017 |
+
-1,
|
| 1018 |
+
-1,
|
| 1019 |
+
-1,
|
| 1020 |
+
4,
|
| 1021 |
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0,
|
| 1022 |
+
-1,
|
| 1023 |
+
-1,
|
| 1024 |
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-1,
|
| 1025 |
+
3,
|
| 1026 |
+
0,
|
| 1027 |
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-1,
|
| 1028 |
+
1,
|
| 1029 |
+
-1,
|
| 1030 |
+
-1,
|
| 1031 |
+
-1,
|
| 1032 |
+
-1,
|
| 1033 |
+
-1,
|
| 1034 |
+
1,
|
| 1035 |
+
2,
|
| 1036 |
+
7,
|
| 1037 |
+
13,
|
| 1038 |
+
-1,
|
| 1039 |
+
-1,
|
| 1040 |
+
1,
|
| 1041 |
+
-1,
|
| 1042 |
+
-1,
|
| 1043 |
+
-1,
|
| 1044 |
+
-1,
|
| 1045 |
+
-1,
|
| 1046 |
+
3,
|
| 1047 |
+
-1,
|
| 1048 |
+
-1,
|
| 1049 |
+
-1,
|
| 1050 |
+
0,
|
| 1051 |
+
-1,
|
| 1052 |
+
-1,
|
| 1053 |
+
-1,
|
| 1054 |
+
-1,
|
| 1055 |
+
4,
|
| 1056 |
+
-1,
|
| 1057 |
+
-1,
|
| 1058 |
+
4,
|
| 1059 |
+
-1,
|
| 1060 |
+
-1,
|
| 1061 |
+
-1,
|
| 1062 |
+
-1,
|
| 1063 |
+
-1,
|
| 1064 |
+
0,
|
| 1065 |
+
-1,
|
| 1066 |
+
-1,
|
| 1067 |
+
1,
|
| 1068 |
+
1,
|
| 1069 |
+
1,
|
| 1070 |
+
-1,
|
| 1071 |
+
-1,
|
| 1072 |
+
-1,
|
| 1073 |
+
-1,
|
| 1074 |
+
8,
|
| 1075 |
+
-1,
|
| 1076 |
+
-1,
|
| 1077 |
+
-1,
|
| 1078 |
+
4,
|
| 1079 |
+
-1,
|
| 1080 |
+
0,
|
| 1081 |
+
-1,
|
| 1082 |
+
-1,
|
| 1083 |
+
14,
|
| 1084 |
+
-1,
|
| 1085 |
+
-1,
|
| 1086 |
+
1,
|
| 1087 |
+
14,
|
| 1088 |
+
-1,
|
| 1089 |
+
-1,
|
| 1090 |
+
0,
|
| 1091 |
+
0,
|
| 1092 |
+
2,
|
| 1093 |
+
-1,
|
| 1094 |
+
-1,
|
| 1095 |
+
-1,
|
| 1096 |
+
-1,
|
| 1097 |
+
1,
|
| 1098 |
+
-1,
|
| 1099 |
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3,
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6,
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13,
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3,
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0,
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10,
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7,
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7,
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0,
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15,
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0,
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6,
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2,
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2,
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0,
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6,
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0,
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1,
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0,
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6,
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0,
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0,
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15,
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0,
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4,
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7,
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| 1452 |
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12,
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| 1455 |
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10,
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| 1456 |
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2,
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| 1458 |
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6,
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| 1459 |
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| 1460 |
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| 1461 |
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| 1462 |
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| 1463 |
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| 1464 |
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0,
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| 1465 |
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1,
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| 1466 |
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4,
|
| 1467 |
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| 1468 |
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| 1469 |
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0,
|
| 1470 |
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0,
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| 1472 |
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12,
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12,
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10,
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| 1479 |
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4,
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| 1480 |
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7,
|
| 1481 |
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4,
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5,
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7,
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7,
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| 1497 |
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0,
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| 1499 |
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0,
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| 1500 |
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7,
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7,
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7,
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7,
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8,
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10,
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10,
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4,
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4,
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4,
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2,
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1,
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2,
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| 1551 |
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3,
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10,
|
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7,
|
| 1559 |
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| 1560 |
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4,
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0,
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| 1565 |
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0,
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11,
|
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12,
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6,
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12,
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2,
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10,
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| 1578 |
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7,
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| 1579 |
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12,
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10,
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0,
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0,
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|
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0,
|
| 1589 |
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10,
|
| 1590 |
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-1,
|
| 1591 |
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10,
|
| 1592 |
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"0": "0_vaccinated_pfizer_jabs_monkeypox",
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| 2099 |
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"1": "1_canning_pantry_cooker_survival",
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| 2100 |
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"2": "2_awakening_consciousness_souls_reality",
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| 2101 |
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"3": "3_safeguarding_abused_offences_chancellor",
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| 2102 |
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"4": "4_brainwashed_bonkers_watched_sovereign",
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| 2103 |
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"5": "5_channel_banned_subscribers_awakened",
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| 2104 |
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"6": "6_mugwort_echinacea_tinctures_antioxidants",
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| 2105 |
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"7": "7_vegetables_cabbages_radishes_lettuces",
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| 2106 |
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"8": "8_ukraine_shortages_petrol_skyrocketing",
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| 2107 |
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"9": "9_methylfolate_statins_niacin_magnesium",
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| 2108 |
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"10": "10_toothpaste_shampoo_rinse_peppermint",
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| 2109 |
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"11": "11_nhs_carers_euthanasia_consent",
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| 2110 |
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"12": "12_transglutaminase_additives_carcinogenic_meat",
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| 2111 |
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"13": "13_savetheseeds_gmo_allotment_farmers",
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| 2112 |
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"14": "14_kwh_gas_charges_october",
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| 2113 |
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"15": "15_propolis_antimicrobial_ointment_wound"
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| 2114 |
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},
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| 2115 |
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| 2116 |
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| 2117 |
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"topic_aspects": {}
|
| 2118 |
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}
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