Ubuntu commited on
Commit
d0702fa
·
1 Parent(s): ed39e1a

finetuned the bert model again to classify things right

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. data_categories/Computers_and_Electronics.csv +2 -2
  2. data_categories/Final_Category_Data_With_Labels.csv +2 -2
  3. data_categories/Food_and_Drink.csv +2 -2
  4. data_categories/Pets_and_Animals.csv +2 -2
  5. data_categories/Real Estate.csv +2 -2
  6. data_categories/Reference.csv +2 -2
  7. data_categories/Sensitive Subjects.csv +2 -2
  8. data_categories/Shopping.csv +2 -2
  9. data_test/keywords-2.csv +3 -0
  10. data_test/labelled_data.csv +3 -0
  11. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/added_tokens.json +0 -0
  12. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/config.json +53 -53
  13. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/optimizer.pt +1 -1
  14. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/pytorch_model.bin +1 -1
  15. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/rng_state.pth +0 -0
  16. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/scheduler.pt +1 -1
  17. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/special_tokens_map.json +0 -0
  18. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/tokenizer.json +0 -0
  19. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/tokenizer_config.json +0 -0
  20. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/trainer_state.json +21 -21
  21. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/training_args.bin +1 -1
  22. finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/vocab.txt +0 -0
  23. finetuned_entity_categorical_classification/checkpoint-3346/added_tokens.json +7 -0
  24. finetuned_entity_categorical_classification/checkpoint-3346/config.json +83 -0
  25. finetuned_entity_categorical_classification/checkpoint-3346/optimizer.pt +3 -0
  26. finetuned_entity_categorical_classification/checkpoint-3346/pytorch_model.bin +3 -0
  27. finetuned_entity_categorical_classification/checkpoint-3346/rng_state.pth +0 -0
  28. finetuned_entity_categorical_classification/checkpoint-3346/scheduler.pt +3 -0
  29. finetuned_entity_categorical_classification/checkpoint-3346/special_tokens_map.json +7 -0
  30. finetuned_entity_categorical_classification/checkpoint-3346/tokenizer.json +0 -0
  31. finetuned_entity_categorical_classification/checkpoint-3346/tokenizer_config.json +56 -0
  32. finetuned_entity_categorical_classification/checkpoint-3346/trainer_state.json +73 -0
  33. finetuned_entity_categorical_classification/checkpoint-3346/training_args.bin +3 -0
  34. finetuned_entity_categorical_classification/checkpoint-3346/vocab.txt +0 -0
  35. finetuned_entity_categorical_classification/checkpoint-3362/added_tokens.json +7 -0
  36. finetuned_entity_categorical_classification/checkpoint-3362/config.json +83 -0
  37. finetuned_entity_categorical_classification/checkpoint-3362/optimizer.pt +3 -0
  38. finetuned_entity_categorical_classification/checkpoint-3362/pytorch_model.bin +3 -0
  39. finetuned_entity_categorical_classification/checkpoint-3362/rng_state.pth +0 -0
  40. finetuned_entity_categorical_classification/checkpoint-3362/scheduler.pt +3 -0
  41. finetuned_entity_categorical_classification/checkpoint-3362/special_tokens_map.json +7 -0
  42. finetuned_entity_categorical_classification/checkpoint-3362/tokenizer.json +0 -0
  43. finetuned_entity_categorical_classification/checkpoint-3362/tokenizer_config.json +56 -0
  44. finetuned_entity_categorical_classification/checkpoint-3362/trainer_state.json +73 -0
  45. finetuned_entity_categorical_classification/checkpoint-3362/training_args.bin +3 -0
  46. finetuned_entity_categorical_classification/checkpoint-3362/vocab.txt +0 -0
  47. finetuned_entity_categorical_classification/runs/Oct12_11-19-39_ip-172-31-95-165/events.out.tfevents.1697109579.ip-172-31-95-165.128350.0 +0 -0
  48. finetuned_entity_categorical_classification/runs/Oct12_11-43-16_ip-172-31-95-165/events.out.tfevents.1697110996.ip-172-31-95-165.128941.0 +0 -0
  49. finetuned_entity_categorical_classification/runs/Oct12_11-59-06_ip-172-31-95-165/events.out.tfevents.1697111947.ip-172-31-95-165.129502.0 +0 -0
  50. research/08_organizing_entire_datacategories.ipynb +222 -222
data_categories/Computers_and_Electronics.csv CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8926ed9c6d555331be7f050a8074b9898260e6e9ec698ddf6a57b5954d2d7adb
3
- size 36145
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3bfb344e958c0625df92cecfd61ee937ad46f4ae3c1fe7b4a43d64bc66ea025b
3
+ size 53312
data_categories/Final_Category_Data_With_Labels.csv CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:381bf850c184b58a8deea31f12421b126212f7c1702a8c73ed3e4176d2b56785
3
- size 1685102
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e98ec1b4ff3e48cf46b76010bdb651b013e29b73a2ba8afde2691ff2c7ffd89
3
+ size 1755664
data_categories/Food_and_Drink.csv CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:aadb7c36f6a07a555ffc31e245efc6062af7a18c58d977eb6877c1807b4e9251
3
- size 47597
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6f93635d1d2a6cb1bcce6f246efe265a22a21f9b0f9e09ad64ff4f4135e9a873
3
+ size 50513
data_categories/Pets_and_Animals.csv CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c88bc062d741826064efa5b0b2135f45abafe10aed9be7122f372769b780daba
3
- size 57220
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6f02553cb1d35b2874332bdc31f355f85f17bf22d93024ddbe3ed174897c5c60
3
+ size 60136
data_categories/Real Estate.csv CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:98584873072b57c4b8629f8071ae0ffe4548f2c1a953260693659f2f740c43a6
3
- size 36020
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d2c95f708a885aa30ff47132f588c8b1f69ea65587a9ff2dcdb9012e11754c3
3
+ size 40030
data_categories/Reference.csv CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:5d77e7335dab3965e50b81a91d2f4312e5408705847ad425b0261a0e45acd136
3
- size 55091
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4f2e6a675d15a45ca557f267488141912d0898e231e890f40075b2dad1bf1ce
3
+ size 57698
data_categories/Sensitive Subjects.csv CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6851357c45f0aa9baad91b8263d4f85421ae16952682e44279b193e289e9ed32
3
- size 10172
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a2594ab9518c2def44acaef1c8661194ae16c95755face04b58d255bac1b33f
3
+ size 11256
data_categories/Shopping.csv CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:88fe8138d63bd43921db7982b432d2d78bbcf8c17d182cf55877c616e856675f
3
- size 46132
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc8a3ba5ed07db6b06b247d33d1b91bded1647f55b9ebcb1d50b1072a51eeecf
3
+ size 56890
data_test/keywords-2.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc87cd18c79ecaa87b16dca63019b9577f72073c987ac18c624b059252e32d0f
3
+ size 8356
data_test/labelled_data.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f208650b882688e9a5cd9e0f2b3787dfd81ca7f5cb524a98c6d1e75d4aadfbf5
3
+ size 19932
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/added_tokens.json RENAMED
File without changes
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/config.json RENAMED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "distilbert-base-uncased",
3
  "activation": "gelu",
4
  "architectures": [
5
  "DistilBertForSequenceClassification"
@@ -9,63 +9,63 @@
9
  "dropout": 0.1,
10
  "hidden_dim": 3072,
11
  "id2label": {
12
- "0": "Beauty_and_Fitness",
13
- "1": "People_and_Society",
14
- "2": "Travel_and_Transportation",
15
- "3": "Shopping",
16
- "4": "Adult",
17
- "5": "Sports",
18
- "6": "Science",
19
- "7": "Food_and_Drink",
20
- "8": "News",
21
- "9": "Sensitive Subjects",
22
- "10": "Autos_and_Vehicles",
23
- "11": "Law_and_Government",
24
- "12": "Business_and_Industrial",
25
- "13": "Health",
26
- "14": "Real Estate",
27
- "15": "Books_and_Literature",
28
- "16": "Computers_and_Electronics",
29
- "17": "Internet_and_Telecom",
30
- "18": "Home_and_Garden",
31
- "19": "Jobs_and_Education",
32
- "20": "Online Communities",
33
- "21": "Finance",
34
  "22": "Arts_and_Entertainment",
35
- "23": "Games",
36
- "24": "Hobbies_and_Leisure",
37
- "25": "Reference",
38
- "26": "Pets_and_Animals"
39
  },
40
  "initializer_range": 0.02,
41
  "label2id": {
42
- "Adult": 4,
43
  "Arts_and_Entertainment": 22,
44
- "Autos_and_Vehicles": 10,
45
- "Beauty_and_Fitness": 0,
46
- "Books_and_Literature": 15,
47
- "Business_and_Industrial": 12,
48
- "Computers_and_Electronics": 16,
49
- "Finance": 21,
50
- "Food_and_Drink": 7,
51
- "Games": 23,
52
- "Health": 13,
53
- "Hobbies_and_Leisure": 24,
54
- "Home_and_Garden": 18,
55
- "Internet_and_Telecom": 17,
56
- "Jobs_and_Education": 19,
57
- "Law_and_Government": 11,
58
- "News": 8,
59
- "Online Communities": 20,
60
- "People_and_Society": 1,
61
- "Pets_and_Animals": 26,
62
- "Real Estate": 14,
63
- "Reference": 25,
64
- "Science": 6,
65
- "Sensitive Subjects": 9,
66
- "Shopping": 3,
67
- "Sports": 5,
68
- "Travel_and_Transportation": 2
69
  },
70
  "max_position_embeddings": 512,
71
  "model_type": "distilbert",
 
1
  {
2
+ "_name_or_path": "finetuned_entity_categorical_classification/checkpoint-3346",
3
  "activation": "gelu",
4
  "architectures": [
5
  "DistilBertForSequenceClassification"
 
9
  "dropout": 0.1,
10
  "hidden_dim": 3072,
11
  "id2label": {
12
+ "0": "Hobbies_and_Leisure",
13
+ "1": "News",
14
+ "2": "Science",
15
+ "3": "Autos_and_Vehicles",
16
+ "4": "Health",
17
+ "5": "Pets_and_Animals",
18
+ "6": "Adult",
19
+ "7": "Computers_and_Electronics",
20
+ "8": "Online Communities",
21
+ "9": "Beauty_and_Fitness",
22
+ "10": "People_and_Society",
23
+ "11": "Business_and_Industrial",
24
+ "12": "Reference",
25
+ "13": "Shopping",
26
+ "14": "Travel_and_Transportation",
27
+ "15": "Food_and_Drink",
28
+ "16": "Law_and_Government",
29
+ "17": "Books_and_Literature",
30
+ "18": "Finance",
31
+ "19": "Games",
32
+ "20": "Home_and_Garden",
33
+ "21": "Jobs_and_Education",
34
  "22": "Arts_and_Entertainment",
35
+ "23": "Sensitive Subjects",
36
+ "24": "Real Estate",
37
+ "25": "Internet_and_Telecom",
38
+ "26": "Sports"
39
  },
40
  "initializer_range": 0.02,
41
  "label2id": {
42
+ "Adult": 6,
43
  "Arts_and_Entertainment": 22,
44
+ "Autos_and_Vehicles": 3,
45
+ "Beauty_and_Fitness": 9,
46
+ "Books_and_Literature": 17,
47
+ "Business_and_Industrial": 11,
48
+ "Computers_and_Electronics": 7,
49
+ "Finance": 18,
50
+ "Food_and_Drink": 15,
51
+ "Games": 19,
52
+ "Health": 4,
53
+ "Hobbies_and_Leisure": 0,
54
+ "Home_and_Garden": 20,
55
+ "Internet_and_Telecom": 25,
56
+ "Jobs_and_Education": 21,
57
+ "Law_and_Government": 16,
58
+ "News": 1,
59
+ "Online Communities": 8,
60
+ "People_and_Society": 10,
61
+ "Pets_and_Animals": 5,
62
+ "Real Estate": 24,
63
+ "Reference": 12,
64
+ "Science": 2,
65
+ "Sensitive Subjects": 23,
66
+ "Shopping": 13,
67
+ "Sports": 26,
68
+ "Travel_and_Transportation": 14
69
  },
70
  "max_position_embeddings": 512,
71
  "model_type": "distilbert",
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/optimizer.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0e20e493b3480b24380280eb5e21c5fd12d4881adfb9cb57a5dd4559f3e85680
3
  size 535881018
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7482411d85a2d5cf5f632c997d2e07449fe4217bcf4b1aad0b38f9138d1acd0a
3
  size 535881018
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/pytorch_model.bin RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:732fd46b0cb9afaec1d14b6595994279ae8d82e40715c5b60b128db60718e69b
3
  size 267932842
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f30aacfea59fa26f3b7edc0f510fe6d083c82c0a92e3118f80f0b13f375cb74e
3
  size 267932842
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/rng_state.pth RENAMED
Binary files a/finetuned_entity_categorical_classification/checkpoint-1576/rng_state.pth and b/finetuned_entity_categorical_classification/checkpoint-1681/rng_state.pth differ
 
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/scheduler.pt RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:774c81fc50874cca433d334a482dfa90f04ccfdc642ea608612d6233e8d60700
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c77a82e248c93cca9760dd3358cd21c9eded35e9713e3141aaaa12789322001
3
  size 1064
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/special_tokens_map.json RENAMED
File without changes
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/tokenizer.json RENAMED
File without changes
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/tokenizer_config.json RENAMED
File without changes
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/trainer_state.json RENAMED
@@ -1,46 +1,46 @@
1
  {
2
- "best_metric": 0.2187376469373703,
3
- "best_model_checkpoint": "finetuned_entity_categorical_classification/checkpoint-1576",
4
  "epoch": 1.0,
5
  "eval_steps": 500,
6
- "global_step": 1576,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
- "epoch": 0.32,
13
- "learning_rate": 1.957698815566836e-05,
14
- "loss": 1.5567,
15
  "step": 500
16
  },
17
  {
18
- "epoch": 0.63,
19
- "learning_rate": 1.915397631133672e-05,
20
- "loss": 0.3944,
21
  "step": 1000
22
  },
23
  {
24
- "epoch": 0.95,
25
- "learning_rate": 1.873096446700508e-05,
26
- "loss": 0.2773,
27
  "step": 1500
28
  },
29
  {
30
  "epoch": 1.0,
31
- "eval_accuracy": 0.9374900840869427,
32
- "eval_loss": 0.2187376469373703,
33
- "eval_runtime": 2.2114,
34
- "eval_samples_per_second": 2850.256,
35
- "eval_steps_per_second": 178.169,
36
- "step": 1576
37
  }
38
  ],
39
  "logging_steps": 500,
40
- "max_steps": 23640,
41
- "num_train_epochs": 15,
42
  "save_steps": 500,
43
- "total_flos": 100414675899720.0,
44
  "trial_name": null,
45
  "trial_params": null
46
  }
 
1
  {
2
+ "best_metric": 0.10296357423067093,
3
+ "best_model_checkpoint": "finetuned_entity_categorical_classification/checkpoint-1681",
4
  "epoch": 1.0,
5
  "eval_steps": 500,
6
+ "global_step": 1681,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.3,
13
+ "learning_rate": 1.7025580011897683e-05,
14
+ "loss": 0.1045,
15
  "step": 500
16
  },
17
  {
18
+ "epoch": 0.59,
19
+ "learning_rate": 1.405116002379536e-05,
20
+ "loss": 0.1056,
21
  "step": 1000
22
  },
23
  {
24
+ "epoch": 0.89,
25
+ "learning_rate": 1.1076740035693041e-05,
26
+ "loss": 0.1041,
27
  "step": 1500
28
  },
29
  {
30
  "epoch": 1.0,
31
+ "eval_accuracy": 0.9721850364420646,
32
+ "eval_loss": 0.10296357423067093,
33
+ "eval_runtime": 2.316,
34
+ "eval_samples_per_second": 2902.854,
35
+ "eval_steps_per_second": 181.779,
36
+ "step": 1681
37
  }
38
  ],
39
  "logging_steps": 500,
40
+ "max_steps": 3362,
41
+ "num_train_epochs": 2,
42
  "save_steps": 500,
43
+ "total_flos": 108413372385396.0,
44
  "trial_name": null,
45
  "trial_params": null
46
  }
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/training_args.bin RENAMED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:665da3b0732e752c339d7e2fda57582d0f87bae18392c4edd4fe1327453b2e44
3
  size 4600
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2de83bc1893d1870cbe886f5287e02f718e1fe0be09dba843ccfc561aeb95ec6
3
  size 4600
finetuned_entity_categorical_classification/{checkpoint-1576 → checkpoint-1681}/vocab.txt RENAMED
File without changes
finetuned_entity_categorical_classification/checkpoint-3346/added_tokens.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "[CLS]": 101,
3
+ "[MASK]": 103,
4
+ "[PAD]": 0,
5
+ "[SEP]": 102,
6
+ "[UNK]": 100
7
+ }
finetuned_entity_categorical_classification/checkpoint-3346/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "finetuned_entity_categorical_classification/checkpoint-3338",
3
+ "activation": "gelu",
4
+ "architectures": [
5
+ "DistilBertForSequenceClassification"
6
+ ],
7
+ "attention_dropout": 0.1,
8
+ "dim": 768,
9
+ "dropout": 0.1,
10
+ "hidden_dim": 3072,
11
+ "id2label": {
12
+ "0": "Hobbies_and_Leisure",
13
+ "1": "News",
14
+ "2": "Science",
15
+ "3": "Autos_and_Vehicles",
16
+ "4": "Health",
17
+ "5": "Pets_and_Animals",
18
+ "6": "Adult",
19
+ "7": "Computers_and_Electronics",
20
+ "8": "Online Communities",
21
+ "9": "Beauty_and_Fitness",
22
+ "10": "People_and_Society",
23
+ "11": "Business_and_Industrial",
24
+ "12": "Reference",
25
+ "13": "Shopping",
26
+ "14": "Travel_and_Transportation",
27
+ "15": "Food_and_Drink",
28
+ "16": "Law_and_Government",
29
+ "17": "Books_and_Literature",
30
+ "18": "Finance",
31
+ "19": "Games",
32
+ "20": "Home_and_Garden",
33
+ "21": "Jobs_and_Education",
34
+ "22": "Arts_and_Entertainment",
35
+ "23": "Sensitive Subjects",
36
+ "24": "Real Estate",
37
+ "25": "Internet_and_Telecom",
38
+ "26": "Sports"
39
+ },
40
+ "initializer_range": 0.02,
41
+ "label2id": {
42
+ "Adult": 6,
43
+ "Arts_and_Entertainment": 22,
44
+ "Autos_and_Vehicles": 3,
45
+ "Beauty_and_Fitness": 9,
46
+ "Books_and_Literature": 17,
47
+ "Business_and_Industrial": 11,
48
+ "Computers_and_Electronics": 7,
49
+ "Finance": 18,
50
+ "Food_and_Drink": 15,
51
+ "Games": 19,
52
+ "Health": 4,
53
+ "Hobbies_and_Leisure": 0,
54
+ "Home_and_Garden": 20,
55
+ "Internet_and_Telecom": 25,
56
+ "Jobs_and_Education": 21,
57
+ "Law_and_Government": 16,
58
+ "News": 1,
59
+ "Online Communities": 8,
60
+ "People_and_Society": 10,
61
+ "Pets_and_Animals": 5,
62
+ "Real Estate": 24,
63
+ "Reference": 12,
64
+ "Science": 2,
65
+ "Sensitive Subjects": 23,
66
+ "Shopping": 13,
67
+ "Sports": 26,
68
+ "Travel_and_Transportation": 14
69
+ },
70
+ "max_position_embeddings": 512,
71
+ "model_type": "distilbert",
72
+ "n_heads": 12,
73
+ "n_layers": 6,
74
+ "pad_token_id": 0,
75
+ "problem_type": "single_label_classification",
76
+ "qa_dropout": 0.1,
77
+ "seq_classif_dropout": 0.2,
78
+ "sinusoidal_pos_embds": false,
79
+ "tie_weights_": true,
80
+ "torch_dtype": "float32",
81
+ "transformers_version": "4.34.0",
82
+ "vocab_size": 30522
83
+ }
finetuned_entity_categorical_classification/checkpoint-3346/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f7fd88a2fd3f16fd9c954418fb3e47832af4a6e96026f465481de95dd8e4b99
3
+ size 535881018
finetuned_entity_categorical_classification/checkpoint-3346/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0316f1198be89b32f1ee6ecde222febe6895b798b64d12f8e12b0f5bdaba754
3
+ size 267932842
finetuned_entity_categorical_classification/checkpoint-3346/rng_state.pth ADDED
Binary file (14.2 kB). View file
 
finetuned_entity_categorical_classification/checkpoint-3346/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:836b9ae7a26190d3866515097d559222a1c62e5f96c298c8360e09e55b2cf8a4
3
+ size 1064
finetuned_entity_categorical_classification/checkpoint-3346/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
finetuned_entity_categorical_classification/checkpoint-3346/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
finetuned_entity_categorical_classification/checkpoint-3346/tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "additional_special_tokens": [],
45
+ "clean_up_tokenization_spaces": true,
46
+ "cls_token": "[CLS]",
47
+ "do_lower_case": true,
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "DistilBertTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
finetuned_entity_categorical_classification/checkpoint-3346/trainer_state.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.10625720769166946,
3
+ "best_model_checkpoint": "finetuned_entity_categorical_classification/checkpoint-1673",
4
+ "epoch": 2.0,
5
+ "eval_steps": 500,
6
+ "global_step": 3346,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.3,
13
+ "learning_rate": 1.7011356843992828e-05,
14
+ "loss": 0.1126,
15
+ "step": 500
16
+ },
17
+ {
18
+ "epoch": 0.6,
19
+ "learning_rate": 1.4022713687985656e-05,
20
+ "loss": 0.1165,
21
+ "step": 1000
22
+ },
23
+ {
24
+ "epoch": 0.9,
25
+ "learning_rate": 1.1034070531978483e-05,
26
+ "loss": 0.117,
27
+ "step": 1500
28
+ },
29
+ {
30
+ "epoch": 1.0,
31
+ "eval_accuracy": 0.9715951562266407,
32
+ "eval_loss": 0.10625720769166946,
33
+ "eval_runtime": 2.3554,
34
+ "eval_samples_per_second": 2839.909,
35
+ "eval_steps_per_second": 177.892,
36
+ "step": 1673
37
+ },
38
+ {
39
+ "epoch": 1.2,
40
+ "learning_rate": 8.04542737597131e-06,
41
+ "loss": 0.0894,
42
+ "step": 2000
43
+ },
44
+ {
45
+ "epoch": 1.49,
46
+ "learning_rate": 5.056784219964137e-06,
47
+ "loss": 0.0827,
48
+ "step": 2500
49
+ },
50
+ {
51
+ "epoch": 1.79,
52
+ "learning_rate": 2.068141063956964e-06,
53
+ "loss": 0.0755,
54
+ "step": 3000
55
+ },
56
+ {
57
+ "epoch": 2.0,
58
+ "eval_accuracy": 0.9706981611601136,
59
+ "eval_loss": 0.1135576069355011,
60
+ "eval_runtime": 2.4092,
61
+ "eval_samples_per_second": 2776.427,
62
+ "eval_steps_per_second": 173.916,
63
+ "step": 3346
64
+ }
65
+ ],
66
+ "logging_steps": 500,
67
+ "max_steps": 3346,
68
+ "num_train_epochs": 2,
69
+ "save_steps": 500,
70
+ "total_flos": 209706294909150.0,
71
+ "trial_name": null,
72
+ "trial_params": null
73
+ }
finetuned_entity_categorical_classification/checkpoint-3346/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7813e2902539bc577c8459ca958658172359e179c4ef494972d6db5de3ada53e
3
+ size 4600
finetuned_entity_categorical_classification/checkpoint-3346/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
finetuned_entity_categorical_classification/checkpoint-3362/added_tokens.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "[CLS]": 101,
3
+ "[MASK]": 103,
4
+ "[PAD]": 0,
5
+ "[SEP]": 102,
6
+ "[UNK]": 100
7
+ }
finetuned_entity_categorical_classification/checkpoint-3362/config.json ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "finetuned_entity_categorical_classification/checkpoint-3346",
3
+ "activation": "gelu",
4
+ "architectures": [
5
+ "DistilBertForSequenceClassification"
6
+ ],
7
+ "attention_dropout": 0.1,
8
+ "dim": 768,
9
+ "dropout": 0.1,
10
+ "hidden_dim": 3072,
11
+ "id2label": {
12
+ "0": "Hobbies_and_Leisure",
13
+ "1": "News",
14
+ "2": "Science",
15
+ "3": "Autos_and_Vehicles",
16
+ "4": "Health",
17
+ "5": "Pets_and_Animals",
18
+ "6": "Adult",
19
+ "7": "Computers_and_Electronics",
20
+ "8": "Online Communities",
21
+ "9": "Beauty_and_Fitness",
22
+ "10": "People_and_Society",
23
+ "11": "Business_and_Industrial",
24
+ "12": "Reference",
25
+ "13": "Shopping",
26
+ "14": "Travel_and_Transportation",
27
+ "15": "Food_and_Drink",
28
+ "16": "Law_and_Government",
29
+ "17": "Books_and_Literature",
30
+ "18": "Finance",
31
+ "19": "Games",
32
+ "20": "Home_and_Garden",
33
+ "21": "Jobs_and_Education",
34
+ "22": "Arts_and_Entertainment",
35
+ "23": "Sensitive Subjects",
36
+ "24": "Real Estate",
37
+ "25": "Internet_and_Telecom",
38
+ "26": "Sports"
39
+ },
40
+ "initializer_range": 0.02,
41
+ "label2id": {
42
+ "Adult": 6,
43
+ "Arts_and_Entertainment": 22,
44
+ "Autos_and_Vehicles": 3,
45
+ "Beauty_and_Fitness": 9,
46
+ "Books_and_Literature": 17,
47
+ "Business_and_Industrial": 11,
48
+ "Computers_and_Electronics": 7,
49
+ "Finance": 18,
50
+ "Food_and_Drink": 15,
51
+ "Games": 19,
52
+ "Health": 4,
53
+ "Hobbies_and_Leisure": 0,
54
+ "Home_and_Garden": 20,
55
+ "Internet_and_Telecom": 25,
56
+ "Jobs_and_Education": 21,
57
+ "Law_and_Government": 16,
58
+ "News": 1,
59
+ "Online Communities": 8,
60
+ "People_and_Society": 10,
61
+ "Pets_and_Animals": 5,
62
+ "Real Estate": 24,
63
+ "Reference": 12,
64
+ "Science": 2,
65
+ "Sensitive Subjects": 23,
66
+ "Shopping": 13,
67
+ "Sports": 26,
68
+ "Travel_and_Transportation": 14
69
+ },
70
+ "max_position_embeddings": 512,
71
+ "model_type": "distilbert",
72
+ "n_heads": 12,
73
+ "n_layers": 6,
74
+ "pad_token_id": 0,
75
+ "problem_type": "single_label_classification",
76
+ "qa_dropout": 0.1,
77
+ "seq_classif_dropout": 0.2,
78
+ "sinusoidal_pos_embds": false,
79
+ "tie_weights_": true,
80
+ "torch_dtype": "float32",
81
+ "transformers_version": "4.34.0",
82
+ "vocab_size": 30522
83
+ }
finetuned_entity_categorical_classification/checkpoint-3362/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d015879f29a2744736a3ba7748885a4ec943584a74c779bc00637389c2d90ccd
3
+ size 535881018
finetuned_entity_categorical_classification/checkpoint-3362/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2f9ac5b4263d73b4fe5715bd69766cb18cb5925f401945d0c67275a65364524
3
+ size 267932842
finetuned_entity_categorical_classification/checkpoint-3362/rng_state.pth ADDED
Binary file (14.2 kB). View file
 
finetuned_entity_categorical_classification/checkpoint-3362/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8af53710b40243eb9329cc845f9ef3a957c0e1972618f070ad4cc3c95bc43973
3
+ size 1064
finetuned_entity_categorical_classification/checkpoint-3362/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
finetuned_entity_categorical_classification/checkpoint-3362/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
finetuned_entity_categorical_classification/checkpoint-3362/tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "additional_special_tokens": [],
45
+ "clean_up_tokenization_spaces": true,
46
+ "cls_token": "[CLS]",
47
+ "do_lower_case": true,
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "DistilBertTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
finetuned_entity_categorical_classification/checkpoint-3362/trainer_state.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.10296357423067093,
3
+ "best_model_checkpoint": "finetuned_entity_categorical_classification/checkpoint-1681",
4
+ "epoch": 2.0,
5
+ "eval_steps": 500,
6
+ "global_step": 3362,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.3,
13
+ "learning_rate": 1.7025580011897683e-05,
14
+ "loss": 0.1045,
15
+ "step": 500
16
+ },
17
+ {
18
+ "epoch": 0.59,
19
+ "learning_rate": 1.405116002379536e-05,
20
+ "loss": 0.1056,
21
+ "step": 1000
22
+ },
23
+ {
24
+ "epoch": 0.89,
25
+ "learning_rate": 1.1076740035693041e-05,
26
+ "loss": 0.1041,
27
+ "step": 1500
28
+ },
29
+ {
30
+ "epoch": 1.0,
31
+ "eval_accuracy": 0.9721850364420646,
32
+ "eval_loss": 0.10296357423067093,
33
+ "eval_runtime": 2.316,
34
+ "eval_samples_per_second": 2902.854,
35
+ "eval_steps_per_second": 181.779,
36
+ "step": 1681
37
+ },
38
+ {
39
+ "epoch": 1.19,
40
+ "learning_rate": 8.10232004759072e-06,
41
+ "loss": 0.0776,
42
+ "step": 2000
43
+ },
44
+ {
45
+ "epoch": 1.49,
46
+ "learning_rate": 5.1279000594884e-06,
47
+ "loss": 0.0675,
48
+ "step": 2500
49
+ },
50
+ {
51
+ "epoch": 1.78,
52
+ "learning_rate": 2.1534800713860798e-06,
53
+ "loss": 0.0773,
54
+ "step": 3000
55
+ },
56
+ {
57
+ "epoch": 2.0,
58
+ "eval_accuracy": 0.9708463483563885,
59
+ "eval_loss": 0.11056160181760788,
60
+ "eval_runtime": 2.2742,
61
+ "eval_samples_per_second": 2956.182,
62
+ "eval_steps_per_second": 185.119,
63
+ "step": 3362
64
+ }
65
+ ],
66
+ "logging_steps": 500,
67
+ "max_steps": 3362,
68
+ "num_train_epochs": 2,
69
+ "save_steps": 500,
70
+ "total_flos": 216609059710134.0,
71
+ "trial_name": null,
72
+ "trial_params": null
73
+ }
finetuned_entity_categorical_classification/checkpoint-3362/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2de83bc1893d1870cbe886f5287e02f718e1fe0be09dba843ccfc561aeb95ec6
3
+ size 4600
finetuned_entity_categorical_classification/checkpoint-3362/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
finetuned_entity_categorical_classification/runs/Oct12_11-19-39_ip-172-31-95-165/events.out.tfevents.1697109579.ip-172-31-95-165.128350.0 ADDED
Binary file (7.68 kB). View file
 
finetuned_entity_categorical_classification/runs/Oct12_11-43-16_ip-172-31-95-165/events.out.tfevents.1697110996.ip-172-31-95-165.128941.0 ADDED
Binary file (7.68 kB). View file
 
finetuned_entity_categorical_classification/runs/Oct12_11-59-06_ip-172-31-95-165/events.out.tfevents.1697111947.ip-172-31-95-165.129502.0 ADDED
Binary file (7.68 kB). View file
 
research/08_organizing_entire_datacategories.ipynb CHANGED
@@ -438,173 +438,173 @@
438
  " </thead>\n",
439
  " <tbody>\n",
440
  " <tr>\n",
441
- " <th>920</th>\n",
442
- " <td>Virtual reality in therapy 2025</td>\n",
443
- " <td>Computers_and_Electronics</td>\n",
444
- " <td>7</td>\n",
445
- " </tr>\n",
446
- " <tr>\n",
447
- " <th>368</th>\n",
448
- " <td>Real estate networking tips</td>\n",
449
- " <td>Real Estate</td>\n",
450
- " <td>24</td>\n",
451
- " </tr>\n",
452
- " <tr>\n",
453
- " <th>173</th>\n",
454
- " <td>Real estate market outlook</td>\n",
455
- " <td>Real Estate</td>\n",
456
- " <td>24</td>\n",
457
- " </tr>\n",
458
- " <tr>\n",
459
- " <th>1045</th>\n",
460
  " <td>Plus-size clothing stores and shops</td>\n",
461
  " <td>Shopping</td>\n",
462
  " <td>13</td>\n",
463
  " </tr>\n",
464
  " <tr>\n",
465
- " <th>910</th>\n",
466
- " <td>Canyoning trips</td>\n",
467
- " <td>Hobbies_and_Leisure</td>\n",
468
- " <td>0</td>\n",
469
  " </tr>\n",
470
  " <tr>\n",
471
- " <th>1098</th>\n",
472
- " <td>Food storage organization</td>\n",
473
- " <td>Food_and_Drink</td>\n",
474
- " <td>15</td>\n",
475
  " </tr>\n",
476
  " <tr>\n",
477
- " <th>788</th>\n",
478
- " <td>Political party systems</td>\n",
479
- " <td>Law_and_Government</td>\n",
480
- " <td>16</td>\n",
481
  " </tr>\n",
482
  " <tr>\n",
483
- " <th>999</th>\n",
484
- " <td>Voting systems security</td>\n",
 
 
 
 
 
 
485
  " <td>Law_and_Government</td>\n",
486
  " <td>16</td>\n",
487
  " </tr>\n",
488
  " <tr>\n",
489
- " <th>547</th>\n",
490
- " <td>Cottage garden outdoor seating</td>\n",
491
  " <td>Home_and_Garden</td>\n",
492
  " <td>20</td>\n",
493
  " </tr>\n",
494
  " <tr>\n",
495
- " <th>210</th>\n",
496
- " <td>Sustainable fashion and ethical clothing networks</td>\n",
497
- " <td>Online Communities</td>\n",
498
- " <td>8</td>\n",
499
  " </tr>\n",
500
  " <tr>\n",
501
- " <th>466</th>\n",
502
- " <td>Medicaid</td>\n",
 
 
 
 
 
 
503
  " <td>Health</td>\n",
504
  " <td>4</td>\n",
505
  " </tr>\n",
506
  " <tr>\n",
507
- " <th>908</th>\n",
508
- " <td>Shakespearean adaptations in historical contex...</td>\n",
509
- " <td>Books_and_Literature</td>\n",
510
- " <td>17</td>\n",
511
  " </tr>\n",
512
  " <tr>\n",
513
- " <th>831</th>\n",
514
- " <td>Travel destinations and vacation planning advi...</td>\n",
515
- " <td>Online Communities</td>\n",
516
- " <td>8</td>\n",
517
  " </tr>\n",
518
  " <tr>\n",
519
- " <th>746</th>\n",
520
- " <td>Social and political activism campaigns and ev...</td>\n",
521
- " <td>Online Communities</td>\n",
522
- " <td>8</td>\n",
523
  " </tr>\n",
524
  " <tr>\n",
525
- " <th>715</th>\n",
526
- " <td>Community development resources</td>\n",
527
- " <td>People_and_Society</td>\n",
528
- " <td>10</td>\n",
529
  " </tr>\n",
530
  " <tr>\n",
531
- " <th>639</th>\n",
532
- " <td>Scientific data analysis software</td>\n",
533
- " <td>Science</td>\n",
534
- " <td>2</td>\n",
535
  " </tr>\n",
536
  " <tr>\n",
537
- " <th>830</th>\n",
538
- " <td>Real estate market reports and insights</td>\n",
539
  " <td>Real Estate</td>\n",
540
  " <td>24</td>\n",
541
  " </tr>\n",
542
  " <tr>\n",
543
- " <th>978</th>\n",
544
- " <td>Reference citation context importance measurem...</td>\n",
545
- " <td>Reference</td>\n",
546
- " <td>12</td>\n",
547
  " </tr>\n",
548
  " <tr>\n",
549
- " <th>938</th>\n",
550
- " <td>Industrial companies in Asia</td>\n",
551
- " <td>Business_and_Industrial</td>\n",
552
- " <td>11</td>\n",
553
  " </tr>\n",
554
  " <tr>\n",
555
- " <th>8</th>\n",
556
- " <td>Legal system</td>\n",
557
- " <td>Law_and_Government</td>\n",
558
- " <td>16</td>\n",
 
 
 
 
 
 
559
  " </tr>\n",
560
  " </tbody>\n",
561
  "</table>\n",
562
  "</div>"
563
  ],
564
  "text/plain": [
565
- " category \\\n",
566
- "920 Virtual reality in therapy 2025 \n",
567
- "368 Real estate networking tips \n",
568
- "173 Real estate market outlook \n",
569
- "1045 Plus-size clothing stores and shops \n",
570
- "910 Canyoning trips \n",
571
- "1098 Food storage organization \n",
572
- "788 Political party systems \n",
573
- "999 Voting systems security \n",
574
- "547 Cottage garden outdoor seating \n",
575
- "210 Sustainable fashion and ethical clothing networks \n",
576
- "466 Medicaid \n",
577
- "908 Shakespearean adaptations in historical contex... \n",
578
- "831 Travel destinations and vacation planning advi... \n",
579
- "746 Social and political activism campaigns and ev... \n",
580
- "715 Community development resources \n",
581
- "639 Scientific data analysis software \n",
582
- "830 Real estate market reports and insights \n",
583
- "978 Reference citation context importance measurem... \n",
584
- "938 Industrial companies in Asia \n",
585
- "8 Legal system \n",
586
  "\n",
587
  " label label_id \n",
588
- "920 Computers_and_Electronics 7 \n",
589
- "368 Real Estate 24 \n",
590
- "173 Real Estate 24 \n",
591
- "1045 Shopping 13 \n",
592
- "910 Hobbies_and_Leisure 0 \n",
593
- "1098 Food_and_Drink 15 \n",
594
- "788 Law_and_Government 16 \n",
595
- "999 Law_and_Government 16 \n",
596
- "547 Home_and_Garden 20 \n",
597
- "210 Online Communities 8 \n",
598
- "466 Health 4 \n",
599
- "908 Books_and_Literature 17 \n",
600
- "831 Online Communities 8 \n",
601
- "746 Online Communities 8 \n",
602
- "715 People_and_Society 10 \n",
603
- "639 Science 2 \n",
604
- "830 Real Estate 24 \n",
605
- "978 Reference 12 \n",
606
- "938 Business_and_Industrial 11 \n",
607
- "8 Law_and_Government 16 "
608
  ]
609
  },
610
  "execution_count": 10,
@@ -625,21 +625,22 @@
625
  "data": {
626
  "text/plain": [
627
  "label\n",
628
- "Food_and_Drink 1755\n",
629
- "Shopping 1505\n",
630
- "Computers_and_Electronics 1432\n",
 
631
  "Sports 1399\n",
632
  "Online Communities 1396\n",
633
  "Travel_and_Transportation 1355\n",
634
  "Internet_and_Telecom 1353\n",
635
- "Reference 1315\n",
636
  "Beauty_and_Fitness 1259\n",
637
  "People_and_Society 1250\n",
638
- "Pets_and_Animals 1228\n",
639
  "Law_and_Government 1226\n",
640
  "Home_and_Garden 1200\n",
641
  "News 1199\n",
642
  "Jobs_and_Education 1188\n",
 
643
  "Arts_and_Entertainment 1162\n",
644
  "Business_and_Industrial 1124\n",
645
  "Adult 1100\n",
@@ -647,11 +648,10 @@
647
  "Autos_and_Vehicles 1072\n",
648
  "Science 1055\n",
649
  "Hobbies_and_Leisure 1049\n",
650
- "Finance 1000\n",
651
- "Real Estate 1000\n",
652
  "Books_and_Literature 1000\n",
 
 
653
  "Games 700\n",
654
- "Sensitive Subjects 688\n",
655
  "Name: count, dtype: int64"
656
  ]
657
  },
@@ -698,121 +698,121 @@
698
  " <tbody>\n",
699
  " <tr>\n",
700
  " <th>0</th>\n",
701
- " <td>DIY woodworking projects</td>\n",
702
- " <td>Home_and_Garden</td>\n",
703
- " <td>20</td>\n",
704
  " </tr>\n",
705
  " <tr>\n",
706
  " <th>1</th>\n",
707
- " <td>Music festivals lineup leaks</td>\n",
708
- " <td>Arts_and_Entertainment</td>\n",
709
- " <td>22</td>\n",
710
  " </tr>\n",
711
  " <tr>\n",
712
  " <th>2</th>\n",
713
- " <td>Sports Team Fan Love</td>\n",
714
- " <td>Sports</td>\n",
715
- " <td>26</td>\n",
716
  " </tr>\n",
717
  " <tr>\n",
718
  " <th>3</th>\n",
719
- " <td>Food portion control and portion control apps</td>\n",
720
  " <td>Food_and_Drink</td>\n",
721
  " <td>15</td>\n",
722
  " </tr>\n",
723
  " <tr>\n",
724
  " <th>4</th>\n",
725
- " <td>Planting flower beds</td>\n",
726
- " <td>Home_and_Garden</td>\n",
727
- " <td>20</td>\n",
728
  " </tr>\n",
729
  " <tr>\n",
730
  " <th>5</th>\n",
731
- " <td>News articles</td>\n",
732
- " <td>News</td>\n",
733
- " <td>1</td>\n",
734
  " </tr>\n",
735
  " <tr>\n",
736
  " <th>6</th>\n",
737
- " <td>Organic makeup for natural look</td>\n",
738
- " <td>Beauty_and_Fitness</td>\n",
739
- " <td>9</td>\n",
740
  " </tr>\n",
741
  " <tr>\n",
742
  " <th>7</th>\n",
743
- " <td>Art history online courses in art therapy</td>\n",
744
- " <td>Arts_and_Entertainment</td>\n",
745
- " <td>22</td>\n",
746
  " </tr>\n",
747
  " <tr>\n",
748
  " <th>8</th>\n",
749
- " <td>Citation context ranking algorithms</td>\n",
750
- " <td>Reference</td>\n",
751
- " <td>12</td>\n",
752
  " </tr>\n",
753
  " <tr>\n",
754
  " <th>9</th>\n",
755
- " <td>Career assessment quizzes</td>\n",
756
- " <td>Jobs_and_Education</td>\n",
757
- " <td>21</td>\n",
758
  " </tr>\n",
759
  " <tr>\n",
760
  " <th>10</th>\n",
761
- " <td>Game streaming camera choice and setup tips</td>\n",
762
- " <td>Games</td>\n",
763
- " <td>19</td>\n",
764
  " </tr>\n",
765
  " <tr>\n",
766
  " <th>11</th>\n",
767
- " <td>Truck financing</td>\n",
768
- " <td>Autos_and_Vehicles</td>\n",
769
- " <td>3</td>\n",
770
  " </tr>\n",
771
  " <tr>\n",
772
  " <th>12</th>\n",
773
- " <td>Community engagement</td>\n",
774
- " <td>People_and_Society</td>\n",
775
- " <td>10</td>\n",
776
  " </tr>\n",
777
  " <tr>\n",
778
  " <th>13</th>\n",
779
- " <td>Creative writing prompts</td>\n",
780
- " <td>Books_and_Literature</td>\n",
781
- " <td>17</td>\n",
782
  " </tr>\n",
783
  " <tr>\n",
784
  " <th>14</th>\n",
785
- " <td>Reference citation context exploration methods</td>\n",
786
- " <td>Reference</td>\n",
787
- " <td>12</td>\n",
788
  " </tr>\n",
789
  " <tr>\n",
790
  " <th>15</th>\n",
791
- " <td>Online discussion boards</td>\n",
792
- " <td>Online Communities</td>\n",
793
- " <td>8</td>\n",
794
  " </tr>\n",
795
  " <tr>\n",
796
  " <th>16</th>\n",
797
- " <td>Tarantula species care for advanced keepers an...</td>\n",
798
- " <td>Pets_and_Animals</td>\n",
799
- " <td>5</td>\n",
800
  " </tr>\n",
801
  " <tr>\n",
802
  " <th>17</th>\n",
803
- " <td>Cycling workouts</td>\n",
804
- " <td>Beauty_and_Fitness</td>\n",
805
- " <td>9</td>\n",
806
  " </tr>\n",
807
  " <tr>\n",
808
  " <th>18</th>\n",
809
- " <td>Webcomics and graphic novels discussion groups</td>\n",
810
- " <td>Online Communities</td>\n",
811
- " <td>8</td>\n",
812
  " </tr>\n",
813
  " <tr>\n",
814
  " <th>19</th>\n",
815
- " <td>eSports Game Content Creation</td>\n",
816
  " <td>Sports</td>\n",
817
  " <td>26</td>\n",
818
  " </tr>\n",
@@ -821,49 +821,49 @@
821
  "</div>"
822
  ],
823
  "text/plain": [
824
- " category label \\\n",
825
- "0 DIY woodworking projects Home_and_Garden \n",
826
- "1 Music festivals lineup leaks Arts_and_Entertainment \n",
827
- "2 Sports Team Fan Love Sports \n",
828
- "3 Food portion control and portion control apps Food_and_Drink \n",
829
- "4 Planting flower beds Home_and_Garden \n",
830
- "5 News articles News \n",
831
- "6 Organic makeup for natural look Beauty_and_Fitness \n",
832
- "7 Art history online courses in art therapy Arts_and_Entertainment \n",
833
- "8 Citation context ranking algorithms Reference \n",
834
- "9 Career assessment quizzes Jobs_and_Education \n",
835
- "10 Game streaming camera choice and setup tips Games \n",
836
- "11 Truck financing Autos_and_Vehicles \n",
837
- "12 Community engagement People_and_Society \n",
838
- "13 Creative writing prompts Books_and_Literature \n",
839
- "14 Reference citation context exploration methods Reference \n",
840
- "15 Online discussion boards Online Communities \n",
841
- "16 Tarantula species care for advanced keepers an... Pets_and_Animals \n",
842
- "17 Cycling workouts Beauty_and_Fitness \n",
843
- "18 Webcomics and graphic novels discussion groups Online Communities \n",
844
- "19 eSports Game Content Creation Sports \n",
845
  "\n",
846
- " label_id \n",
847
- "0 20 \n",
848
- "1 22 \n",
849
- "2 26 \n",
850
- "3 15 \n",
851
- "4 20 \n",
852
- "5 1 \n",
853
- "6 9 \n",
854
- "7 22 \n",
855
- "8 12 \n",
856
- "9 21 \n",
857
- "10 19 \n",
858
- "11 3 \n",
859
- "12 10 \n",
860
- "13 17 \n",
861
- "14 12 \n",
862
- "15 8 \n",
863
- "16 5 \n",
864
- "17 9 \n",
865
- "18 8 \n",
866
- "19 26 "
867
  ]
868
  },
869
  "execution_count": 12,
 
438
  " </thead>\n",
439
  " <tbody>\n",
440
  " <tr>\n",
441
+ " <th>1201</th>\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
442
  " <td>Plus-size clothing stores and shops</td>\n",
443
  " <td>Shopping</td>\n",
444
  " <td>13</td>\n",
445
  " </tr>\n",
446
  " <tr>\n",
447
+ " <th>853</th>\n",
448
+ " <td>Citation context extraction techniques</td>\n",
449
+ " <td>Reference</td>\n",
450
+ " <td>12</td>\n",
451
  " </tr>\n",
452
  " <tr>\n",
453
+ " <th>1034</th>\n",
454
+ " <td>Cat ear headphones with aux</td>\n",
455
+ " <td>Computers_and_Electronics</td>\n",
456
+ " <td>7</td>\n",
457
  " </tr>\n",
458
  " <tr>\n",
459
+ " <th>632</th>\n",
460
+ " <td>promote such behavior</td>\n",
461
+ " <td>Sensitive Subjects</td>\n",
462
+ " <td>23</td>\n",
463
  " </tr>\n",
464
  " <tr>\n",
465
+ " <th>91</th>\n",
466
+ " <td>Literature review references</td>\n",
467
+ " <td>Reference</td>\n",
468
+ " <td>12</td>\n",
469
+ " </tr>\n",
470
+ " <tr>\n",
471
+ " <th>168</th>\n",
472
+ " <td>Freedom of speech cases</td>\n",
473
  " <td>Law_and_Government</td>\n",
474
  " <td>16</td>\n",
475
  " </tr>\n",
476
  " <tr>\n",
477
+ " <th>1111</th>\n",
478
+ " <td>French country kitchen design inspiration DIY</td>\n",
479
  " <td>Home_and_Garden</td>\n",
480
  " <td>20</td>\n",
481
  " </tr>\n",
482
  " <tr>\n",
483
+ " <th>492</th>\n",
484
+ " <td>Credit score improvement techniques overview</td>\n",
485
+ " <td>Finance</td>\n",
486
+ " <td>18</td>\n",
487
  " </tr>\n",
488
  " <tr>\n",
489
+ " <th>657</th>\n",
490
+ " <td>regulated by laws</td>\n",
491
+ " <td>Sensitive Subjects</td>\n",
492
+ " <td>23</td>\n",
493
+ " </tr>\n",
494
+ " <tr>\n",
495
+ " <th>1037</th>\n",
496
+ " <td>Health Education for Seniors</td>\n",
497
  " <td>Health</td>\n",
498
  " <td>4</td>\n",
499
  " </tr>\n",
500
  " <tr>\n",
501
+ " <th>109</th>\n",
502
+ " <td>Quantum mechanics experiments</td>\n",
503
+ " <td>Science</td>\n",
504
+ " <td>2</td>\n",
505
  " </tr>\n",
506
  " <tr>\n",
507
+ " <th>538</th>\n",
508
+ " <td>Healthcare AI applications</td>\n",
509
+ " <td>Science</td>\n",
510
+ " <td>2</td>\n",
511
  " </tr>\n",
512
  " <tr>\n",
513
+ " <th>1386</th>\n",
514
+ " <td>AirPods Pro Case</td>\n",
515
+ " <td>Computers_and_Electronics</td>\n",
516
+ " <td>7</td>\n",
517
  " </tr>\n",
518
  " <tr>\n",
519
+ " <th>844</th>\n",
520
+ " <td>DIY home electrical repairs</td>\n",
521
+ " <td>Home_and_Garden</td>\n",
522
+ " <td>20</td>\n",
523
  " </tr>\n",
524
  " <tr>\n",
525
+ " <th>439</th>\n",
526
+ " <td>tube sex</td>\n",
527
+ " <td>Adult</td>\n",
528
+ " <td>6</td>\n",
529
  " </tr>\n",
530
  " <tr>\n",
531
+ " <th>231</th>\n",
532
+ " <td>Real estate sales tactics</td>\n",
533
  " <td>Real Estate</td>\n",
534
  " <td>24</td>\n",
535
  " </tr>\n",
536
  " <tr>\n",
537
+ " <th>610</th>\n",
538
+ " <td>Home solar panel cleaning and maintenance</td>\n",
539
+ " <td>Home_and_Garden</td>\n",
540
+ " <td>20</td>\n",
541
  " </tr>\n",
542
  " <tr>\n",
543
+ " <th>422</th>\n",
544
+ " <td>Real estate legal issues</td>\n",
545
+ " <td>Real Estate</td>\n",
546
+ " <td>24</td>\n",
547
  " </tr>\n",
548
  " <tr>\n",
549
+ " <th>222</th>\n",
550
+ " <td>Film industry news</td>\n",
551
+ " <td>Arts_and_Entertainment</td>\n",
552
+ " <td>22</td>\n",
553
+ " </tr>\n",
554
+ " <tr>\n",
555
+ " <th>1077</th>\n",
556
+ " <td>Cat ear headphones for PS4</td>\n",
557
+ " <td>Computers_and_Electronics</td>\n",
558
+ " <td>7</td>\n",
559
  " </tr>\n",
560
  " </tbody>\n",
561
  "</table>\n",
562
  "</div>"
563
  ],
564
  "text/plain": [
565
+ " category \\\n",
566
+ "1201 Plus-size clothing stores and shops \n",
567
+ "853 Citation context extraction techniques \n",
568
+ "1034 Cat ear headphones with aux \n",
569
+ "632 promote such behavior \n",
570
+ "91 Literature review references \n",
571
+ "168 Freedom of speech cases \n",
572
+ "1111 French country kitchen design inspiration DIY \n",
573
+ "492 Credit score improvement techniques overview \n",
574
+ "657 regulated by laws \n",
575
+ "1037 Health Education for Seniors \n",
576
+ "109 Quantum mechanics experiments \n",
577
+ "538 Healthcare AI applications \n",
578
+ "1386 AirPods Pro Case \n",
579
+ "844 DIY home electrical repairs \n",
580
+ "439 tube sex \n",
581
+ "231 Real estate sales tactics \n",
582
+ "610 Home solar panel cleaning and maintenance \n",
583
+ "422 Real estate legal issues \n",
584
+ "222 Film industry news \n",
585
+ "1077 Cat ear headphones for PS4 \n",
586
  "\n",
587
  " label label_id \n",
588
+ "1201 Shopping 13 \n",
589
+ "853 Reference 12 \n",
590
+ "1034 Computers_and_Electronics 7 \n",
591
+ "632 Sensitive Subjects 23 \n",
592
+ "91 Reference 12 \n",
593
+ "168 Law_and_Government 16 \n",
594
+ "1111 Home_and_Garden 20 \n",
595
+ "492 Finance 18 \n",
596
+ "657 Sensitive Subjects 23 \n",
597
+ "1037 Health 4 \n",
598
+ "109 Science 2 \n",
599
+ "538 Science 2 \n",
600
+ "1386 Computers_and_Electronics 7 \n",
601
+ "844 Home_and_Garden 20 \n",
602
+ "439 Adult 6 \n",
603
+ "231 Real Estate 24 \n",
604
+ "610 Home_and_Garden 20 \n",
605
+ "422 Real Estate 24 \n",
606
+ "222 Arts_and_Entertainment 22 \n",
607
+ "1077 Computers_and_Electronics 7 "
608
  ]
609
  },
610
  "execution_count": 10,
 
625
  "data": {
626
  "text/plain": [
627
  "label\n",
628
+ "Computers_and_Electronics 1959\n",
629
+ "Shopping 1912\n",
630
+ "Food_and_Drink 1851\n",
631
+ "Reference 1453\n",
632
  "Sports 1399\n",
633
  "Online Communities 1396\n",
634
  "Travel_and_Transportation 1355\n",
635
  "Internet_and_Telecom 1353\n",
636
+ "Pets_and_Animals 1324\n",
637
  "Beauty_and_Fitness 1259\n",
638
  "People_and_Society 1250\n",
 
639
  "Law_and_Government 1226\n",
640
  "Home_and_Garden 1200\n",
641
  "News 1199\n",
642
  "Jobs_and_Education 1188\n",
643
+ "Real Estate 1166\n",
644
  "Arts_and_Entertainment 1162\n",
645
  "Business_and_Industrial 1124\n",
646
  "Adult 1100\n",
 
648
  "Autos_and_Vehicles 1072\n",
649
  "Science 1055\n",
650
  "Hobbies_and_Leisure 1049\n",
 
 
651
  "Books_and_Literature 1000\n",
652
+ "Finance 1000\n",
653
+ "Sensitive Subjects 762\n",
654
  "Games 700\n",
 
655
  "Name: count, dtype: int64"
656
  ]
657
  },
 
698
  " <tbody>\n",
699
  " <tr>\n",
700
  " <th>0</th>\n",
701
+ " <td>Internet usage monitoring</td>\n",
702
+ " <td>Internet_and_Telecom</td>\n",
703
+ " <td>25</td>\n",
704
  " </tr>\n",
705
  " <tr>\n",
706
  " <th>1</th>\n",
707
+ " <td>Food safety guidelines and regulations</td>\n",
708
+ " <td>Food_and_Drink</td>\n",
709
+ " <td>15</td>\n",
710
  " </tr>\n",
711
  " <tr>\n",
712
  " <th>2</th>\n",
713
+ " <td>Internet protocols and edge computing in finance</td>\n",
714
+ " <td>Internet_and_Telecom</td>\n",
715
+ " <td>25</td>\n",
716
  " </tr>\n",
717
  " <tr>\n",
718
  " <th>3</th>\n",
719
+ " <td>Online grocery shopping</td>\n",
720
  " <td>Food_and_Drink</td>\n",
721
  " <td>15</td>\n",
722
  " </tr>\n",
723
  " <tr>\n",
724
  " <th>4</th>\n",
725
+ " <td>Writing retreats for poets and novelists</td>\n",
726
+ " <td>Books_and_Literature</td>\n",
727
+ " <td>17</td>\n",
728
  " </tr>\n",
729
  " <tr>\n",
730
  " <th>5</th>\n",
731
+ " <td>Unicorn cat ear headphones</td>\n",
732
+ " <td>Computers_and_Electronics</td>\n",
733
+ " <td>7</td>\n",
734
  " </tr>\n",
735
  " <tr>\n",
736
  " <th>6</th>\n",
737
+ " <td>Reference citation context tagging techniques</td>\n",
738
+ " <td>Reference</td>\n",
739
+ " <td>12</td>\n",
740
  " </tr>\n",
741
  " <tr>\n",
742
  " <th>7</th>\n",
743
+ " <td>Motorcycle riding tips for beginners gear chec...</td>\n",
744
+ " <td>Autos_and_Vehicles</td>\n",
745
+ " <td>3</td>\n",
746
  " </tr>\n",
747
  " <tr>\n",
748
  " <th>8</th>\n",
749
+ " <td>Space agency missions</td>\n",
750
+ " <td>Science</td>\n",
751
+ " <td>2</td>\n",
752
  " </tr>\n",
753
  " <tr>\n",
754
  " <th>9</th>\n",
755
+ " <td>Game streaming self-promotion and growth tactics</td>\n",
756
+ " <td>Games</td>\n",
757
+ " <td>19</td>\n",
758
  " </tr>\n",
759
  " <tr>\n",
760
  " <th>10</th>\n",
761
+ " <td>sex videos movies</td>\n",
762
+ " <td>Adult</td>\n",
763
+ " <td>6</td>\n",
764
  " </tr>\n",
765
  " <tr>\n",
766
  " <th>11</th>\n",
767
+ " <td>Citation context organization methods</td>\n",
768
+ " <td>Reference</td>\n",
769
+ " <td>12</td>\n",
770
  " </tr>\n",
771
  " <tr>\n",
772
  " <th>12</th>\n",
773
+ " <td>Healthy office snacks</td>\n",
774
+ " <td>Health</td>\n",
775
+ " <td>4</td>\n",
776
  " </tr>\n",
777
  " <tr>\n",
778
  " <th>13</th>\n",
779
+ " <td>Indigenous rights advocacy</td>\n",
780
+ " <td>People_and_Society</td>\n",
781
+ " <td>10</td>\n",
782
  " </tr>\n",
783
  " <tr>\n",
784
  " <th>14</th>\n",
785
+ " <td>News talk shows</td>\n",
786
+ " <td>News</td>\n",
787
+ " <td>1</td>\n",
788
  " </tr>\n",
789
  " <tr>\n",
790
  " <th>15</th>\n",
791
+ " <td>Best facial cleansers</td>\n",
792
+ " <td>Hobbies_and_Leisure</td>\n",
793
+ " <td>0</td>\n",
794
  " </tr>\n",
795
  " <tr>\n",
796
  " <th>16</th>\n",
797
+ " <td>Letter of recommendation</td>\n",
798
+ " <td>Reference</td>\n",
799
+ " <td>12</td>\n",
800
  " </tr>\n",
801
  " <tr>\n",
802
  " <th>17</th>\n",
803
+ " <td>Fossil preservation techniques</td>\n",
804
+ " <td>Science</td>\n",
805
+ " <td>2</td>\n",
806
  " </tr>\n",
807
  " <tr>\n",
808
  " <th>18</th>\n",
809
+ " <td>Marriage equality</td>\n",
810
+ " <td>People_and_Society</td>\n",
811
+ " <td>10</td>\n",
812
  " </tr>\n",
813
  " <tr>\n",
814
  " <th>19</th>\n",
815
+ " <td>eSports Game Esports Player Fan Engagement Ini...</td>\n",
816
  " <td>Sports</td>\n",
817
  " <td>26</td>\n",
818
  " </tr>\n",
 
821
  "</div>"
822
  ],
823
  "text/plain": [
824
+ " category \\\n",
825
+ "0 Internet usage monitoring \n",
826
+ "1 Food safety guidelines and regulations \n",
827
+ "2 Internet protocols and edge computing in finance \n",
828
+ "3 Online grocery shopping \n",
829
+ "4 Writing retreats for poets and novelists \n",
830
+ "5 Unicorn cat ear headphones \n",
831
+ "6 Reference citation context tagging techniques \n",
832
+ "7 Motorcycle riding tips for beginners gear chec... \n",
833
+ "8 Space agency missions \n",
834
+ "9 Game streaming self-promotion and growth tactics \n",
835
+ "10 sex videos movies \n",
836
+ "11 Citation context organization methods \n",
837
+ "12 Healthy office snacks \n",
838
+ "13 Indigenous rights advocacy \n",
839
+ "14 News talk shows \n",
840
+ "15 Best facial cleansers \n",
841
+ "16 Letter of recommendation \n",
842
+ "17 Fossil preservation techniques \n",
843
+ "18 Marriage equality \n",
844
+ "19 eSports Game Esports Player Fan Engagement Ini... \n",
845
  "\n",
846
+ " label label_id \n",
847
+ "0 Internet_and_Telecom 25 \n",
848
+ "1 Food_and_Drink 15 \n",
849
+ "2 Internet_and_Telecom 25 \n",
850
+ "3 Food_and_Drink 15 \n",
851
+ "4 Books_and_Literature 17 \n",
852
+ "5 Computers_and_Electronics 7 \n",
853
+ "6 Reference 12 \n",
854
+ "7 Autos_and_Vehicles 3 \n",
855
+ "8 Science 2 \n",
856
+ "9 Games 19 \n",
857
+ "10 Adult 6 \n",
858
+ "11 Reference 12 \n",
859
+ "12 Health 4 \n",
860
+ "13 People_and_Society 10 \n",
861
+ "14 News 1 \n",
862
+ "15 Hobbies_and_Leisure 0 \n",
863
+ "16 Reference 12 \n",
864
+ "17 Science 2 \n",
865
+ "18 People_and_Society 10 \n",
866
+ "19 Sports 26 "
867
  ]
868
  },
869
  "execution_count": 12,