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README.md

@@ -78,10 +78,12 @@ as synthetically generated data.
 
 ## 📊 Evaluation results
 
-The table reports NDCG@10 scores on the eight **public** ViDoRe V3 tasks as
-percentages rather than values between 0 and 1 (for example, 0.80 is shown as
-80.00). Each task value is the mean of its six language subsets; the public
-average is the unweighted mean of the eight public task values.
+The table reports NDCG@10 scores on the ViDoRe V3 tasks as percentages rather
+than values between 0 and 1 (for example, 0.80 is shown as 80.00). Each task
+value is the mean of its six language subsets. Mean (Public) is the unweighted
+mean of the eight public task values, Mean (Private) covers the Nuclear and
+Telecom tasks, and the final mean is the unweighted mean across all ten tasks.
+Models are sorted by the final mean.
 
 The evaluation software versions and setup are documented under
 [Reproducing the evaluation environment](#reproducing-the-evaluation-environment).
@@ -100,18 +102,18 @@ All table values are shown to two decimal places. ColVec1.1 values are rounded
 from the submitted artifacts using round-half-up. Comparator values were read
 from the live
 [ViDoRe V3 MTEB leaderboard](https://mteb-leaderboard.hf.space/benchmark/ViDoRe%28v3%29)
-on July 22, 2026.
-
-| Model | Computer Science | Energy | FinanceEn | FinanceFr | HR | Industrial | Pharmaceuticals | Physics | **Avg. public** |
-| :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
-| **[webAI-ColVec1.1-8b](https://huggingface.co/webAI-Official/webAI-ColVec1.1-8b)** | 80.08 | 70.12 | **71.90** | **54.87** | 68.55 | **57.65** | 67.88 | 51.50 | **65.32** |
-| [VultronRetriever Prime](https://huggingface.co/vultr/VultronRetrieverPrime-Qwen3.5-8B) | 79.81 | **70.26** | 69.01 | 54.51 | 66.82 | 57.41 | **68.19** | **51.73** | 64.72 |
-| [webAI-ColVec1-9b](https://huggingface.co/webAI-Official/webAI-ColVec1-9b) | **80.92** | 69.77 | 68.28 | 53.72 | **70.04** | 57.18 | 67.32 | 48.38 | 64.45 |
-| **webAI-ColVec1.1-4b (this model)** | 80.34 | 69.50 | 69.18 | 53.13 | 66.90 | 56.36 | 67.25 | 51.24 | 64.24 |
-| [VultronRetriever Core](https://huggingface.co/vultr/VultronRetrieverCore-Qwen3.5-4.5B) | 79.77 | 69.19 | 68.93 | 52.02 | 66.10 | 56.11 | 67.45 | 50.18 | 63.72 |
-| [Nemotron ColEmbed VL 8B V2](https://huggingface.co/nvidia/nemotron-colembed-vl-8b-v2) | 79.29 | 69.82 | 67.29 | 51.54 | 66.32 | 56.03 | 67.19 | 50.84 | 63.54 |
-| [webAI-ColVec1-4b](https://huggingface.co/webAI-Official/webAI-ColVec1-4b) | 79.84 | 68.70 | 68.49 | 51.11 | 67.40 | 55.73 | 65.68 | 50.15 | 63.39 |
-| [Tomoro ColQwen3 Embed 8B](https://huggingface.co/TomoroAI/tomoro-colqwen3-embed-8b) | 75.35 | 68.41 | 65.08 | 49.10 | 63.98 | 54.41 | 66.36 | 50.13 | 61.60 |
+on July 31, 2026.
+
+| Model | **Final mean** | **Mean (Public)** | **Mean (Private)** | Computer Science | Energy | FinanceEn | FinanceFr | HR | Industrial | Nuclear | Pharmaceuticals | Physics | Telecom |
+| :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
+| **[webAI-ColVec1.1-8b](https://huggingface.co/webAI-Official/webAI-ColVec1.1-8b)** | **64.95** | **65.32** | **63.47** | 80.08 | 70.12 | **71.90** | **54.87** | 68.55 | **57.65** | 53.66 | 67.88 | 51.50 | **73.29** |
+| [VultronRetriever Prime](https://huggingface.co/vultr/VultronRetrieverPrime-Qwen3.5-8B) | 64.26 | 64.72 | 62.43 | 79.81 | **70.26** | 69.01 | 54.51 | 66.82 | 57.41 | 53.59 | **68.19** | **51.73** | 71.27 |
+| **webAI-ColVec1.1-4b (this model)** | 63.90 | 64.24 | 62.53 | 80.34 | 69.50 | 69.18 | 53.13 | 66.90 | 56.36 | 53.30 | 67.25 | 51.24 | 71.76 |
+| [VultronRetriever Core](https://huggingface.co/vultr/VultronRetrieverCore-Qwen3.5-4.5B) | 63.57 | 63.72 | 63.00 | 79.77 | 69.19 | 68.93 | 52.02 | 66.10 | 56.11 | **54.90** | 67.45 | 50.18 | 71.10 |
+| [Nemotron ColEmbed VL 8B V2](https://huggingface.co/nvidia/nemotron-colembed-vl-8b-v2) | 63.42 | 63.54 | 62.92 | 79.29 | 69.82 | 67.29 | 51.54 | 66.32 | 56.03 | 53.84 | 67.19 | 50.84 | 72.00 |
+| [webAI-ColVec1-9b](https://huggingface.co/webAI-Official/webAI-ColVec1-9b) | 63.00 | 64.45 | 57.20 | **80.92** | 69.77 | 68.28 | 53.72 | **70.04** | 57.18 | 47.66 | 67.32 | 48.38 | 66.74 |
+| [webAI-ColVec1-4b](https://huggingface.co/webAI-Official/webAI-ColVec1-4b) | 62.22 | 63.39 | 57.55 | 79.84 | 68.70 | 68.49 | 51.11 | 67.40 | 55.73 | 48.22 | 65.68 | 50.15 | 66.88 |
+| [Tomoro ColQwen3 Embed 8B](https://huggingface.co/TomoroAI/tomoro-colqwen3-embed-8b) | 61.59 | 61.60 | 61.56 | 75.35 | 68.41 | 65.08 | 49.10 | 63.98 | 54.41 | 52.65 | 66.36 | 50.13 | 70.46 |
 
 The current MTEB leaderboard entries named `webAI-ColVec1-4b` and
 `webAI-ColVec1-9b` refer to the previous ColVec1 release, not these ColVec1.1
@@ -304,7 +306,7 @@ The requirements include FlashAttention 2 as an optional supported backend;
 its presence does not change the SDPA configuration used for the reported
 scores.
 
-The public ViDoRe V3 scores used the following core software versions:
+The ViDoRe V3 scores used the following core software versions:
 
 ```text
 Python 3.12