Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
extended|other-MPQA-KBP Challenge-MediaRank
ArXiv:
Tags:
License:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
@@ -19,6 +19,152 @@ task_ids:
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- sentiment-classification
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paperswithcode_id: persent
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pretty_name: PerSenT
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---
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# Dataset Card for PerSenT
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@@ -193,4 +339,4 @@ Slightly Negative, Neutral, Slightly Positive, or Positive. We then combine the
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### Contributions
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-
Thanks to [@jeromeku](https://github.com/jeromeku) for adding this dataset.
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- sentiment-classification
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paperswithcode_id: persent
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pretty_name: PerSenT
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+
dataset_info:
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+
features:
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+
- name: DOCUMENT_INDEX
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+
dtype: int64
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- name: TITLE
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dtype: string
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- name: TARGET_ENTITY
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dtype: string
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- name: DOCUMENT
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dtype: string
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- name: MASKED_DOCUMENT
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dtype: string
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- name: TRUE_SENTIMENT
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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: Paragraph0
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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: Paragraph1
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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: Paragraph2
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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: Paragraph3
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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: Paragraph4
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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: Paragraph5
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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: Paragraph6
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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: Paragraph7
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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: Paragraph8
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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: Paragraph9
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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: Paragraph10
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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: Paragraph11
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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: Paragraph12
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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: Paragraph13
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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: Paragraph14
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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: Paragraph15
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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: test_fixed
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num_bytes: 3881800
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num_examples: 827
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- name: test_random
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num_bytes: 2629500
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num_examples: 579
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- name: train
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num_bytes: 14595163
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num_examples: 3355
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- name: validation
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num_bytes: 2322922
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+
num_examples: 578
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+
download_size: 23117196
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+
dataset_size: 23429385
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---
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# Dataset Card for PerSenT
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339 |
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### Contributions
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+
Thanks to [@jeromeku](https://github.com/jeromeku) for adding this dataset.
|