Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Arabic
Size:
1K - 10K
License:
Commit
•
b759b14
1
Parent(s):
8016dcb
Convert dataset to Parquet
Browse filesConvert dataset to Parquet.
- README.md +10 -4
- dataset_infos.json +47 -1
- plain_text/train-00000-of-00001.parquet +3 -0
README.md
CHANGED
@@ -19,6 +19,7 @@ task_ids:
|
|
19 |
- sentiment-classification
|
20 |
pretty_name: Arabic Jordanian General Tweets
|
21 |
dataset_info:
|
|
|
22 |
features:
|
23 |
- name: text
|
24 |
dtype: string
|
@@ -28,13 +29,18 @@ dataset_info:
|
|
28 |
names:
|
29 |
'0': Negative
|
30 |
'1': Positive
|
31 |
-
config_name: plain_text
|
32 |
splits:
|
33 |
- name: train
|
34 |
-
num_bytes:
|
35 |
num_examples: 1800
|
36 |
-
download_size:
|
37 |
-
dataset_size:
|
|
|
|
|
|
|
|
|
|
|
|
|
38 |
---
|
39 |
|
40 |
# Dataset Card for Arabic Jordanian General Tweets
|
|
|
19 |
- sentiment-classification
|
20 |
pretty_name: Arabic Jordanian General Tweets
|
21 |
dataset_info:
|
22 |
+
config_name: plain_text
|
23 |
features:
|
24 |
- name: text
|
25 |
dtype: string
|
|
|
29 |
names:
|
30 |
'0': Negative
|
31 |
'1': Positive
|
|
|
32 |
splits:
|
33 |
- name: train
|
34 |
+
num_bytes: 175420
|
35 |
num_examples: 1800
|
36 |
+
download_size: 91857
|
37 |
+
dataset_size: 175420
|
38 |
+
configs:
|
39 |
+
- config_name: plain_text
|
40 |
+
data_files:
|
41 |
+
- split: train
|
42 |
+
path: plain_text/train-*
|
43 |
+
default: true
|
44 |
---
|
45 |
|
46 |
# Dataset Card for Arabic Jordanian General Tweets
|
dataset_infos.json
CHANGED
@@ -1 +1,47 @@
|
|
1 |
-
{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"plain_text": {
|
3 |
+
"description": "Arabic Jordanian General Tweets (AJGT) Corpus consisted of 1,800 tweets annotated as positive and negative. Modern Standard Arabic (MSA) or Jordanian dialect.\n",
|
4 |
+
"citation": "@inproceedings{alomari2017arabic,\n title={Arabic tweets sentimental analysis using machine learning},\n author={Alomari, Khaled Mohammad and ElSherif, Hatem M and Shaalan, Khaled},\n booktitle={International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems},\n pages={602--610},\n year={2017},\n organization={Springer}\n}\n",
|
5 |
+
"homepage": "https://github.com/komari6/Arabic-twitter-corpus-AJGT",
|
6 |
+
"license": "",
|
7 |
+
"features": {
|
8 |
+
"text": {
|
9 |
+
"dtype": "string",
|
10 |
+
"_type": "Value"
|
11 |
+
},
|
12 |
+
"label": {
|
13 |
+
"names": [
|
14 |
+
"Negative",
|
15 |
+
"Positive"
|
16 |
+
],
|
17 |
+
"_type": "ClassLabel"
|
18 |
+
}
|
19 |
+
},
|
20 |
+
"task_templates": [
|
21 |
+
{
|
22 |
+
"task": "text-classification",
|
23 |
+
"label_column": "label"
|
24 |
+
}
|
25 |
+
],
|
26 |
+
"builder_name": "parquet",
|
27 |
+
"dataset_name": "ajgt_twitter_ar",
|
28 |
+
"config_name": "plain_text",
|
29 |
+
"version": {
|
30 |
+
"version_str": "1.0.0",
|
31 |
+
"major": 1,
|
32 |
+
"minor": 0,
|
33 |
+
"patch": 0
|
34 |
+
},
|
35 |
+
"splits": {
|
36 |
+
"train": {
|
37 |
+
"name": "train",
|
38 |
+
"num_bytes": 175420,
|
39 |
+
"num_examples": 1800,
|
40 |
+
"dataset_name": null
|
41 |
+
}
|
42 |
+
},
|
43 |
+
"download_size": 91857,
|
44 |
+
"dataset_size": 175420,
|
45 |
+
"size_in_bytes": 267277
|
46 |
+
}
|
47 |
+
}
|
plain_text/train-00000-of-00001.parquet
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d6f35180ab9678918a07d4faf67c4b2d6c2ae29e7b2c467a990b5ec395deee9e
|
3 |
+
size 91857
|