Datasets:
Tasks:
Sentence Similarity
Modalities:
Text
Formats:
csv
Languages:
Arabic
Size:
100K - 1M
ArXiv:
Tags:
sentence-transformers
License:
Omartificial-Intelligence-Space
commited on
Commit
•
ecb19bb
1
Parent(s):
5582ce7
Update readme.md
Browse files
README.md
CHANGED
@@ -1,3 +1,44 @@
|
|
1 |
-
---
|
2 |
-
license: apache-2.0
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
task_categories:
|
4 |
+
- sentence-similarity
|
5 |
+
language:
|
6 |
+
- ar
|
7 |
+
size_categories:
|
8 |
+
- 10K<n<100K
|
9 |
+
---
|
10 |
+
|
11 |
+
# Arabic-NLI-PAir
|
12 |
+
|
13 |
+
## Dataset Summary
|
14 |
+
|
15 |
+
1. The Arabic Version of SNLI and MultiNLI datasets. (Pair Subset)
|
16 |
+
2. Originally used for Natural Language Inference (NLI),
|
17 |
+
3. Dataset may be used for training/finetuning an embedding model for semantic textual similarity.
|
18 |
+
|
19 |
+
## Pair Subset
|
20 |
+
|
21 |
+
- Columns: "anchor", "positive"
|
22 |
+
- Column types: str, str
|
23 |
+
|
24 |
+
Examples:
|
25 |
+
|
26 |
+
```python
|
27 |
+
{
|
28 |
+
"anchor": "كيف أكون جيولوجياً جيداً؟",
|
29 |
+
"positive": "ماذا علي أن أفعل لأكون جيولوجياً عظيماً؟"
|
30 |
+
}
|
31 |
+
```
|
32 |
+
|
33 |
+
|
34 |
+
## Disclaimer
|
35 |
+
|
36 |
+
Please note that the translated sentences are generated using neural machine translation and may not always convey the intended meaning accurately.
|
37 |
+
|
38 |
+
## Contact
|
39 |
+
[Contact Me](https://www.omarai.co) if you have any questions or you want to use thid dataset
|
40 |
+
|
41 |
+
|
42 |
+
## Note
|
43 |
+
|
44 |
+
Original work done by [SentenceTransformers](https://www.sbert.net)
|