Datasets:

Modalities:
Text
Formats:
json
Languages:
French
ArXiv:
Libraries:
Datasets
pandas
License:
Files changed (1) hide show
  1. README.md +29 -6
README.md CHANGED
@@ -10,14 +10,15 @@ size_categories:
10
  configs:
11
  - config_name: documents
12
  data_files:
13
- - split: test
14
- path: documents.json
15
  - config_name: queries
16
  data_files:
17
- - split: test
18
- path: queries-test.json
19
- - split: train
20
- path: queries-train.json
 
21
  ---
22
 
23
  This is a re-edit from the Alloprof dataset (which can be found here : https://huggingface.co/datasets/antoinelb7/alloprof).
@@ -40,3 +41,25 @@ For example, to get the queries use :
40
  from datasets import load_dataset
41
  dataset = load_dataset("lyon-nlp/alloprof", "queries")
42
  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10
  configs:
11
  - config_name: documents
12
  data_files:
13
+ - split: test
14
+ path: documents.json
15
  - config_name: queries
16
  data_files:
17
+ - split: test
18
+ path: queries-test.json
19
+ - split: train
20
+ path: queries-train.json
21
+ license: apache-2.0
22
  ---
23
 
24
  This is a re-edit from the Alloprof dataset (which can be found here : https://huggingface.co/datasets/antoinelb7/alloprof).
 
41
  from datasets import load_dataset
42
  dataset = load_dataset("lyon-nlp/alloprof", "queries")
43
  ```
44
+
45
+ ### Citation
46
+ If you use this dataset in your work, please consider citing:
47
+ ```
48
+ @misc{ciancone2024extending,
49
+ title={Extending the Massive Text Embedding Benchmark to French},
50
+ author={Mathieu Ciancone and Imene Kerboua and Marion Schaeffer and Wissam Siblini},
51
+ year={2024},
52
+ eprint={2405.20468},
53
+ archivePrefix={arXiv},
54
+ primaryClass={cs.CL}
55
+ }
56
+
57
+ @misc{lefebvrebrossard2023alloprof,
58
+ title={Alloprof: a new French question-answer education dataset and its use in an information retrieval case study},
59
+ author={Antoine Lefebvre-Brossard and Stephane Gazaille and Michel C. Desmarais},
60
+ year={2023},
61
+ eprint={2302.07738},
62
+ archivePrefix={arXiv},
63
+ primaryClass={cs.CL}
64
+ }
65
+ ```