Datasets:
Quote class label ids in YAML
#3
by
lhoestq
HF staff
- opened
README.md
CHANGED
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@@ -54,11 +54,11 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: sadness
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-
1: anger
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-
2: love
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| 60 |
-
3: fear
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-
4: happy
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splits:
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- name: train
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num_bytes: 686418
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@@ -79,9 +79,9 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: positive
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-
1: neutral
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-
2: negative
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splits:
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- name: train
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num_bytes: 2209874
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@@ -102,44 +102,44 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: negative
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-
1: neutral
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-
2: positive
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- name: machine
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dtype:
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class_label:
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names:
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-
0: negative
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-
1: neutral
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| 114 |
-
2: positive
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- name: others
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dtype:
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class_label:
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names:
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-
0: negative
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-
1: neutral
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-
2: positive
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- name: part
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dtype:
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class_label:
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names:
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| 126 |
-
0: negative
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| 127 |
-
1: neutral
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| 128 |
-
2: positive
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| 129 |
- name: price
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dtype:
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class_label:
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names:
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-
0: negative
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-
1: neutral
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-
2: positive
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- name: service
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dtype:
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class_label:
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names:
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-
0: negative
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-
1: neutral
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-
2: positive
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splits:
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- name: train
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num_bytes: 110415
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@@ -160,82 +160,82 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: neg
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-
1: neut
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-
2: pos
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-
3: neg_pos
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- name: air_panas
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dtype:
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class_label:
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names:
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-
0: neg
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-
1: neut
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-
2: pos
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-
3: neg_pos
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- name: bau
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dtype:
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class_label:
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names:
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-
0: neg
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-
1: neut
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-
2: pos
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-
3: neg_pos
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- name: general
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dtype:
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class_label:
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names:
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-
0: neg
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-
1: neut
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-
2: pos
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-
3: neg_pos
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- name: kebersihan
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dtype:
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class_label:
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names:
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-
0: neg
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-
1: neut
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-
2: pos
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-
3: neg_pos
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- name: linen
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dtype:
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class_label:
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names:
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-
0: neg
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-
1: neut
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-
2: pos
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-
3: neg_pos
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- name: service
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dtype:
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class_label:
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names:
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-
0: neg
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-
1: neut
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-
2: pos
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-
3: neg_pos
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- name: sunrise_meal
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dtype:
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class_label:
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names:
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-
0: neg
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-
1: neut
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-
2: pos
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-
3: neg_pos
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- name: tv
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dtype:
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class_label:
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names:
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-
0: neg
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-
1: neut
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-
2: pos
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-
3: neg_pos
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- name: wifi
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dtype:
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class_label:
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names:
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-
0: neg
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-
1: neut
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-
2: pos
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-
3: neg_pos
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splits:
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- name: train
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num_bytes: 458177
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@@ -260,8 +260,8 @@ dataset_info:
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dtype:
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class_label:
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names:
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-
0: NotEntail
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-
1: Entail_or_Paraphrase
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splits:
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- name: train
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num_bytes: 99999
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@@ -282,32 +282,32 @@ dataset_info:
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sequence:
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class_label:
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names:
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-
0: B-PPO
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-
1: B-KUA
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-
2: B-ADV
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-
3: B-PRN
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-
4: B-VBI
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-
5: B-PAR
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-
6: B-VBP
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-
7: B-NNP
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-
8: B-UNS
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-
9: B-VBT
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-
10: B-VBL
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-
11: B-NNO
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-
12: B-ADJ
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-
13: B-PRR
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14: B-PRK
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-
15: B-CCN
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-
16: B-$$$
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-
17: B-ADK
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-
18: B-ART
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-
19: B-CSN
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-
20: B-NUM
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-
21: B-SYM
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-
22: B-INT
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-
23: B-NEG
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-
24: B-PRI
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-
25: B-VBE
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splits:
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- name: train
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num_bytes: 2751348
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@@ -328,47 +328,47 @@ dataset_info:
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sequence:
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class_label:
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names:
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-
0: B-PR
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-
1: B-CD
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-
2: I-PR
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-
3: B-SYM
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-
4: B-JJ
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-
5: B-DT
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-
6: I-UH
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-
7: I-NND
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-
8: B-SC
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9: I-WH
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-
10: I-IN
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11: I-NNP
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-
12: I-VB
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-
13: B-IN
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14: B-NND
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-
15: I-CD
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16: I-JJ
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17: I-X
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-
18: B-OD
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19: B-RP
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20: B-RB
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21: B-NNP
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22: I-RB
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-
23: I-Z
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24: B-CC
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25: B-NEG
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-
26: B-VB
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27: B-NN
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-
28: B-MD
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29: B-UH
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30: I-NN
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-
31: B-PRP
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32: I-SC
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33: B-Z
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34: I-PRP
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35: I-OD
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36: I-SYM
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-
37: B-WH
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38: B-FW
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39: I-CC
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40: B-X
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splits:
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- name: train
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num_bytes: 3772459
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@@ -389,11 +389,11 @@ dataset_info:
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sequence:
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class_label:
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names:
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-
0: I-SENTIMENT
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-
1: O
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2: I-ASPECT
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3: B-SENTIMENT
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-
4: B-ASPECT
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splits:
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- name: train
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num_bytes: 817983
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@@ -414,9 +414,9 @@ dataset_info:
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sequence:
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class_label:
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names:
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-
0: O
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-
1: B
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-
2: I
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splits:
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- name: train
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num_bytes: 173961
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@@ -437,13 +437,13 @@ dataset_info:
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sequence:
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class_label:
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names:
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-
0: I-PERSON
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1: B-ORGANISATION
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-
2: I-ORGANISATION
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-
3: B-PLACE
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-
4: I-PLACE
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-
5: O
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-
6: B-PERSON
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splits:
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- name: train
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num_bytes: 960710
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@@ -464,17 +464,17 @@ dataset_info:
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sequence:
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class_label:
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names:
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-
0: I-PPL
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1: B-EVT
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-
2: B-PLC
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-
3: I-IND
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-
4: B-IND
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5: B-FNB
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-
6: I-EVT
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7: B-PPL
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8: I-PLC
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9: O
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10: I-FNB
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splits:
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- name: train
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num_bytes: 2751348
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@@ -497,9 +497,9 @@ dataset_info:
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sequence:
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class_label:
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names:
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-
0: O
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1: B
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-
2: I
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splits:
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- name: train
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num_bytes: 2454368
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dtype:
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class_label:
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names:
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+
'0': sadness
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+
'1': anger
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+
'2': love
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+
'3': fear
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+
'4': happy
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splits:
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- name: train
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num_bytes: 686418
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dtype:
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class_label:
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names:
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'0': positive
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'1': neutral
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'2': negative
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splits:
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- name: train
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num_bytes: 2209874
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dtype:
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class_label:
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names:
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+
'0': negative
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'1': neutral
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'2': positive
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- name: machine
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dtype:
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class_label:
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names:
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'0': negative
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'1': neutral
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'2': positive
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- name: others
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dtype:
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class_label:
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names:
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+
'0': negative
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+
'1': neutral
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+
'2': positive
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- name: part
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dtype:
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class_label:
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names:
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+
'0': negative
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+
'1': neutral
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+
'2': positive
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- name: price
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dtype:
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class_label:
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names:
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+
'0': negative
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+
'1': neutral
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+
'2': positive
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- name: service
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dtype:
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class_label:
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names:
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+
'0': negative
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+
'1': neutral
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+
'2': positive
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splits:
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- name: train
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num_bytes: 110415
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dtype:
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class_label:
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names:
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+
'0': neg
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+
'1': neut
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+
'2': pos
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+
'3': neg_pos
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- name: air_panas
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dtype:
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class_label:
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names:
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+
'0': neg
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+
'1': neut
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+
'2': pos
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+
'3': neg_pos
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- name: bau
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dtype:
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class_label:
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names:
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+
'0': neg
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+
'1': neut
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+
'2': pos
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+
'3': neg_pos
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- name: general
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dtype:
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class_label:
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names:
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+
'0': neg
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+
'1': neut
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+
'2': pos
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+
'3': neg_pos
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- name: kebersihan
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dtype:
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class_label:
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names:
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+
'0': neg
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+
'1': neut
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+
'2': pos
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+
'3': neg_pos
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- name: linen
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dtype:
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class_label:
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names:
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+
'0': neg
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+
'1': neut
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+
'2': pos
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+
'3': neg_pos
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- name: service
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dtype:
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class_label:
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names:
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+
'0': neg
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+
'1': neut
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+
'2': pos
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+
'3': neg_pos
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- name: sunrise_meal
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dtype:
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class_label:
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names:
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+
'0': neg
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+
'1': neut
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+
'2': pos
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+
'3': neg_pos
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- name: tv
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dtype:
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class_label:
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names:
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+
'0': neg
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+
'1': neut
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+
'2': pos
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+
'3': neg_pos
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- name: wifi
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dtype:
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class_label:
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names:
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'0': neg
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+
'1': neut
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+
'2': pos
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+
'3': neg_pos
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splits:
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- name: train
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num_bytes: 458177
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dtype:
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class_label:
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names:
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+
'0': NotEntail
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+
'1': Entail_or_Paraphrase
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splits:
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- name: train
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num_bytes: 99999
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sequence:
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class_label:
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names:
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+
'0': B-PPO
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+
'1': B-KUA
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+
'2': B-ADV
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+
'3': B-PRN
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+
'4': B-VBI
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+
'5': B-PAR
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+
'6': B-VBP
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+
'7': B-NNP
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+
'8': B-UNS
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+
'9': B-VBT
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+
'10': B-VBL
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+
'11': B-NNO
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+
'12': B-ADJ
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+
'13': B-PRR
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+
'14': B-PRK
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+
'15': B-CCN
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+
'16': B-$$$
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+
'17': B-ADK
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+
'18': B-ART
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+
'19': B-CSN
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+
'20': B-NUM
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+
'21': B-SYM
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'22': B-INT
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'23': B-NEG
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'24': B-PRI
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+
'25': B-VBE
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splits:
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- name: train
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num_bytes: 2751348
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sequence:
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class_label:
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names:
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+
'0': B-PR
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+
'1': B-CD
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+
'2': I-PR
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+
'3': B-SYM
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+
'4': B-JJ
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+
'5': B-DT
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+
'6': I-UH
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+
'7': I-NND
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+
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