parquet-converter commited on
Commit
f7a962a
1 Parent(s): e529817

Update parquet files

Browse files
.gitattributes DELETED
@@ -1,37 +0,0 @@
1
- *.7z filter=lfs diff=lfs merge=lfs -text
2
- *.arrow filter=lfs diff=lfs merge=lfs -text
3
- *.bin filter=lfs diff=lfs merge=lfs -text
4
- *.bz2 filter=lfs diff=lfs merge=lfs -text
5
- *.ftz filter=lfs diff=lfs merge=lfs -text
6
- *.gz filter=lfs diff=lfs merge=lfs -text
7
- *.h5 filter=lfs diff=lfs merge=lfs -text
8
- *.joblib filter=lfs diff=lfs merge=lfs -text
9
- *.lfs.* filter=lfs diff=lfs merge=lfs -text
10
- *.model filter=lfs diff=lfs merge=lfs -text
11
- *.msgpack filter=lfs diff=lfs merge=lfs -text
12
- *.onnx filter=lfs diff=lfs merge=lfs -text
13
- *.ot filter=lfs diff=lfs merge=lfs -text
14
- *.parquet filter=lfs diff=lfs merge=lfs -text
15
- *.pb filter=lfs diff=lfs merge=lfs -text
16
- *.pt filter=lfs diff=lfs merge=lfs -text
17
- *.pth filter=lfs diff=lfs merge=lfs -text
18
- *.rar filter=lfs diff=lfs merge=lfs -text
19
- saved_model/**/* filter=lfs diff=lfs merge=lfs -text
20
- *.tar.* filter=lfs diff=lfs merge=lfs -text
21
- *.tflite filter=lfs diff=lfs merge=lfs -text
22
- *.tgz filter=lfs diff=lfs merge=lfs -text
23
- *.wasm filter=lfs diff=lfs merge=lfs -text
24
- *.xz filter=lfs diff=lfs merge=lfs -text
25
- *.zip filter=lfs diff=lfs merge=lfs -text
26
- *.zstandard filter=lfs diff=lfs merge=lfs -text
27
- *tfevents* filter=lfs diff=lfs merge=lfs -text
28
- # Audio files - uncompressed
29
- *.pcm filter=lfs diff=lfs merge=lfs -text
30
- *.sam filter=lfs diff=lfs merge=lfs -text
31
- *.raw filter=lfs diff=lfs merge=lfs -text
32
- # Audio files - compressed
33
- *.aac filter=lfs diff=lfs merge=lfs -text
34
- *.flac filter=lfs diff=lfs merge=lfs -text
35
- *.mp3 filter=lfs diff=lfs merge=lfs -text
36
- *.ogg filter=lfs diff=lfs merge=lfs -text
37
- *.wav filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
README.md DELETED
@@ -1,17 +0,0 @@
1
- ---
2
- license: cc0-1.0
3
- ---
4
-
5
- # About Dataset
6
-
7
- ### Context
8
-
9
- Text summarization is a way to condense the large amount of information into a concise form by the process of selection of important information and discarding unimportant and redundant information. With the amount of textual information present in the world wide web the area of text summarization is becoming very important. The extractive summarization is the one where the exact sentences present in the document are used as summaries. The extractive summarization is simpler and is the general practice among the automatic text summarization researchers at the present time. Extractive summarization process involves giving scores to sentences using some method and then using the sentences that achieve highest scores as summaries. As the exact sentence present in the document is used the semantic factor can be ignored which results in generation of less calculation intensive summarization procedure. This kind of summary is generally completely unsupervised and language independent too. Although this kind of summary does its job in conveying the essential information it may not be necessarily smooth or fluent. Sometimes there can be almost no connection between adjacent sentences in the summary resulting in the text lacking in readability.
10
-
11
- Content
12
- This dataset for extractive text summarization has four hundred and seventeen political news articles of BBC from 2004 to 2005 in the News Articles folder. For each articles, five summaries are provided in the Summaries folder. The first clause of the text of articles is the respective title.
13
-
14
- Acknowledgements
15
- This dataset was created using a dataset used for data categorization that onsists of 2225 documents from the BBC news website corresponding to stories in five topical areas from 2004-2005 used in the paper of D. Greene and P. Cunningham. "Practical Solutions to the Problem of Diagonal Dominance in Kernel Document Clustering", Proc. ICML 2006; whose all rights, including copyright, in the content of the original articles are owned by the BBC. More at http://mlg.ucd.ie/datasets/bbc.html
16
-
17
- **Kaggle Link:** https://www.kaggle.com/datasets/pariza/bbc-news-summary
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bbc-news-summary.csv DELETED
The diff for this file is too large to render. See raw diff
 
gopalkalpande--bbc-news-summary/csv-train.parquet ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b86d8a6640964f6ab738225804ba307bbabeca6f0d5c8d222c57c5537526c6f
3
+ size 4305579