Hugging Face's logo

Datasets:
Abirate
/
english_quotes

Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
multi-label-classification
Languages:
English
Size:
1K - 10K
DOI:
Libraries:
Datasets
pandas
Dataset card Viewer Files Community
3
Abirate commited on
Commit
3991f8e
•
1 Parent(s): 2c923e1

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -7
README.md CHANGED
@@ -1,15 +1,15 @@
1
- # **I-Dataset Card for English quotes**
2
- #### Dataset Summary
3
  english_quotes is a dataset of all the quotes retrieved from [goodreads quotes](https://www.goodreads.com/quotes). This dataset can be used for multi-label text classification and text generation. The content of each quote is in English and concerns the domain of datasets for NLP and beyond.
4
 
5
- #### Supported Tasks and Leaderboards
6
  - Multi-label text classification : The dataset can be used to train a model for text-classification, which consists of classifying quotes by author as well as by topic (using tags). Success on this task is typically measured by achieving a high or low accuracy.
7
  - Text-generation : The dataset can be used to train a model to generate quotes by fine-tuning an existing pretrained model on the corpus composed of all quotes (or quotes by author).
8
 
9
- #### Languages
10
  The texts in the dataset are in English (en).
11
 
12
- # **II-Dataset Structure**
13
  #### Data Instances
14
  A JSON-formatted example of a typical instance in the dataset:
15
  ```python
@@ -25,7 +25,7 @@ A JSON-formatted example of a typical instance in the dataset:
25
  #### Data Splits
26
  I kept the dataset as one block (train), so it can be shuffled and split by users later using methods of the hugging face dataset library like the (.train_test_split()) method.
27
 
28
- # **III-Dataset Creation**
29
  #### Curation Rationale
30
  I want to share my datasets (created by web scraping and additional cleaning treatments) with the HuggingFace community so that they can use them in NLP tasks to advance artificial intelligence.
31
 
@@ -98,7 +98,7 @@ data_df.to_json('C:/Users/Abir/Desktop/quotes.jsonl',orient="records", lines =Tr
98
  #### Annotations
99
  Annotations are part of the initial data collection (see the script above).
100
 
101
- # **IV-Additional Informations**
102
  #### Dataset Curators
103
  Abir ELTAIEF :
104
  [@AbirEltaief](https://tn.linkedin.com/in/abir-eltaief-pmp%C2%AE-469048115)
 
1
+ # ****Dataset Card for English quotes****
2
+ # **I-Dataset Summary**
3
  english_quotes is a dataset of all the quotes retrieved from [goodreads quotes](https://www.goodreads.com/quotes). This dataset can be used for multi-label text classification and text generation. The content of each quote is in English and concerns the domain of datasets for NLP and beyond.
4
 
5
+ # **II-Supported Tasks and Leaderboards**
6
  - Multi-label text classification : The dataset can be used to train a model for text-classification, which consists of classifying quotes by author as well as by topic (using tags). Success on this task is typically measured by achieving a high or low accuracy.
7
  - Text-generation : The dataset can be used to train a model to generate quotes by fine-tuning an existing pretrained model on the corpus composed of all quotes (or quotes by author).
8
 
9
+ # **III-Languages**
10
  The texts in the dataset are in English (en).
11
 
12
+ # **IV-Dataset Structure**
13
  #### Data Instances
14
  A JSON-formatted example of a typical instance in the dataset:
15
  ```python
 
25
  #### Data Splits
26
  I kept the dataset as one block (train), so it can be shuffled and split by users later using methods of the hugging face dataset library like the (.train_test_split()) method.
27
 
28
+ # **V-Dataset Creation**
29
  #### Curation Rationale
30
  I want to share my datasets (created by web scraping and additional cleaning treatments) with the HuggingFace community so that they can use them in NLP tasks to advance artificial intelligence.
31
 
 
98
  #### Annotations
99
  Annotations are part of the initial data collection (see the script above).
100
 
101
+ # **VI-Additional Informations**
102
  #### Dataset Curators
103
  Abir ELTAIEF :
104
  [@AbirEltaief](https://tn.linkedin.com/in/abir-eltaief-pmp%C2%AE-469048115)