readme: update leaderboard and introduce new LeTemps benchmarks

README.md

@@ -26,21 +26,21 @@ More details can be found in [our GitHub repository](https://github.com/stefan-i
 We test our pretrained language models on various datasets from HIPE-2020, HIPE-2022 and Europeana. The following table
 shows an overview of used datasets.
 
-| Language | Dataset                                                                                          | Additional Dataset                                                               |
-|----------|--------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------|
-| English  | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md)       | -                                                                                |
-| German   | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md)       | -                                                                                |
-| French   | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md)       | [ICDAR-Europeana](https://github.com/stefan-it/historic-domain-adaptation-icdar) |
-| Finnish  | [NewsEye](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-newseye.md) | -                                                                                |
-| Swedish  | [NewsEye](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-newseye.md) | -                                                                                |
-| Dutch    | [ICDAR-Europeana](https://github.com/stefan-it/historic-domain-adaptation-icdar)                 | -                                                                                |
+| Language | Datasets
+|----------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| English  | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md)                                                                                                                                                                                       |
+| German   | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md)                                                                                                                                                                                       |
+| French   | [AjMC](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-ajmc.md) - [ICDAR-Europeana](https://github.com/stefan-it/historic-domain-adaptation-icdar) - [LeTemps](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-letemps.md) |
+| Finnish  | [NewsEye](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-newseye.md)                                                                                                                                                                                 |
+| Swedish  | [NewsEye](https://github.com/hipe-eval/HIPE-2022-data/blob/main/documentation/README-newseye.md)                                                                                                                                                                                 |
+| Dutch    | [ICDAR-Europeana](https://github.com/stefan-it/historic-domain-adaptation-icdar)                                                                                                                                                                                                 |
 
 Results:
 
-| Model                                                                                  | English AjMC | German AjMC  | French AjMC  | Finnish NewsEye | Swedish NewsEye | Dutch ICDAR  | French ICDAR | Avg.      |
-|----------------------------------------------------------------------------------------|--------------|--------------|--------------|-----------------|-----------------|--------------|--------------|-----------|
-| hmBERT (32k) [Schweter et al.](https://ceur-ws.org/Vol-3180/paper-87.pdf)              | 85.36 ± 0.94 | 89.08 ± 0.09 | 85.10 ± 0.60 | 77.28 ± 0.37    | 82.85 ± 0.83    | 82.11 ± 0.61 | 77.21 ± 0.16 | 82.71     |
-| hmTEAMS (Ours)                                                                         | 86.41 ± 0.36 | 88.64 ± 0.42 | 85.41 ± 0.67 | 79.27 ± 1.88    | 82.78 ± 0.60    | 88.21 ± 0.39 | 78.03 ± 0.39 | **84.11** |
+| Model                                                                                  | English AjMC | German AjMC  | French AjMC  | Finnish NewsEye | Swedish NewsEye | Dutch ICDAR  | French ICDAR | French LeTemps | Avg.      |
+|----------------------------------------------------------------------------------------|--------------|--------------|--------------|-----------------|-----------------|--------------|--------------|----------------|-----------|
+| hmBERT (32k) [Schweter et al.](https://ceur-ws.org/Vol-3180/paper-87.pdf)              | 85.36 ± 0.94 | 89.08 ± 0.09 | 85.10 ± 0.60 | 77.28 ± 0.37    | 82.85 ± 0.83    | 82.11 ± 0.61 | 77.21 ± 0.16 | 65.73 ± 0.56   |   80.59   |
+| hmTEAMS (Ours)                                                                         | 86.41 ± 0.36 | 88.64 ± 0.42 | 85.41 ± 0.67 | 79.27 ± 1.88    | 82.78 ± 0.60    | 88.21 ± 0.39 | 78.03 ± 0.39 | 66.71 ± 0.46   | **81.93** |
 
 # Acknowledgements