diff --git a/results.json b/results.json
index 9df2bc9..8a0b56a 100644
--- a/results.json
+++ b/results.json
@@ -6,7 +6,7 @@
         "model_type":"CLM",
         "num_params":13000000000.0,
         "num_tokens":2000000000000.0,
-        "size_pretraining_GB":"N/A",
+        "size_pretraining_GB":"-",
         "source":"https://huggingface.co/meta-llama/Llama-2-13b-hf",
         "accuracy":{
             "mean":0.6691674212,
@@ -20,7 +20,7 @@
         "model_type":"CLM",
         "num_params":7000000000.0,
         "num_tokens":2000000000000.0,
-        "size_pretraining_GB":"N/A",
+        "size_pretraining_GB":"-",
         "source":"https://huggingface.co/meta-llama/Llama-2-7b-hf", 
         "accuracy":{
             "mean":0.6239813737,
@@ -33,8 +33,8 @@
         "model_family":"mistral",
         "model_type":"CLM",
         "num_params":7000000000.0,
-        "num_tokens":"N/A",
-        "size_pretraining_GB":"N/A",
+        "num_tokens":"-",
+        "size_pretraining_GB":"-",
         "source":"https://huggingface.co/mistralai/Mistral-7B-v0.1/discussions/8",
         "accuracy":{
             "mean":0.6537317294,
@@ -48,7 +48,7 @@
         "model_type":"MLM",
         "num_params":109000000.0,
         "num_tokens":3300000000.0,
-        "size_pretraining_GB":"N/A",
+        "size_pretraining_GB":"-",
         "source":"https://huggingface.co/blog/bert-101",
         "accuracy":{
             "mean":0.1839348079,
@@ -62,7 +62,7 @@
         "model_type":"MLM",
         "num_params":335000000.0,
         "num_tokens":3300000000.0,
-        "size_pretraining_GB":"N/A",
+        "size_pretraining_GB":"-",
         "source":"https://huggingface.co/blog/bert-101",
         "accuracy":{
             "mean":0.199111801,
@@ -76,7 +76,7 @@
         "model_type":"CLM",
         "num_params":2000000000.0,
         "num_tokens":2000000000000.0,
-        "size_pretraining_GB":"N/A",
+        "size_pretraining_GB":"-",
         "source":"https://cloud.google.com/blog/products/ai-machine-learning/performance-deepdive-of-gemma-on-google-cloud", 
         "accuracy":{
             "mean":0.5153710171,
@@ -90,7 +90,7 @@
         "model_type":"CLM",
         "num_params":7000000000.0,
         "num_tokens":6000000000000.0,
-        "size_pretraining_GB":"N/A",
+        "size_pretraining_GB":"-",
         "source":"https://huggingface.co/docs/transformers/main/en/model_doc/gemma", 
         "accuracy":{
             "mean":0.6372181262,
@@ -103,7 +103,7 @@
         "model_family":"gpt2",
         "model_type":"CLM",
         "num_params":137000000.0,
-        "num_tokens":"N/A",
+        "num_tokens":"-",
         "size_pretraining_GB":"40.0",
         "source":"https://openai.com/index/better-language-models/", 
         "accuracy":{
@@ -117,7 +117,7 @@
         "model_family":"gpt2",
         "model_type":"CLM",
         "num_params":812000000.0,
-        "num_tokens":"N/A",
+        "num_tokens":"-",
         "size_pretraining_GB":"40.0",
         "source":"https://openai.com/index/better-language-models/", 
         "accuracy":{
@@ -131,7 +131,7 @@
         "model_family":"gpt2",
         "model_type":"CLM",
         "num_params":355000000.0,
-        "num_tokens":"N/A",
+        "num_tokens":"-",
         "size_pretraining_GB":"40.0",
         "source":"https://openai.com/index/better-language-models/", 
         "accuracy":{
@@ -145,7 +145,7 @@
         "model_family":"gpt2",
         "model_type":"CLM",
         "num_params":1600000000.0,
-        "num_tokens":"N/A",
+        "num_tokens":"-",
         "size_pretraining_GB":"40.0",
         "source":"https://openai.com/index/better-language-models/", 
         "accuracy":{
@@ -257,7 +257,7 @@
         "model_family":"roberta",
         "model_type":"MLM",
         "num_params":125000000.0,
-        "num_tokens":"N/A",
+        "num_tokens":"-",
         "size_pretraining_GB":"160.0",
         "source":"https://arxiv.org/pdf/1907.11692", 
         "accuracy":{
@@ -271,7 +271,7 @@
         "model_family":"roberta",
         "model_type":"MLM",
         "num_params":355000000.0,
-        "num_tokens":"N/A",
+        "num_tokens":"-",
         "size_pretraining_GB":"160.0",
         "source":"https://arxiv.org/pdf/1907.11692", 
         "accuracy":{
@@ -285,7 +285,7 @@
         "model_family":"xlm-roberta",
         "model_type":"MLM",
         "num_params":279000000.0,
-        "num_tokens":"N/A",
+        "num_tokens":"-",
         "size_pretraining_GB":"2500.0",
         "source":"https://huggingface.co/FacebookAI/xlm-roberta-base",
         "accuracy":{
@@ -299,7 +299,7 @@
         "model_family":"xlm-roberta",
         "model_type":"MLM",
         "num_params":561000000.0,
-        "num_tokens":"N/A",
+        "num_tokens":"-",
         "size_pretraining_GB":"2500.0",
         "source":"https://huggingface.co/FacebookAI/xlm-roberta-large",
         "accuracy":{
@@ -313,8 +313,8 @@
         "model_family":"baseline",
         "model_type":"-",
         "num_params":"-",
-        "num_tokens":"N/A",
-        "size_pretraining_GB":"N/A",
+        "num_tokens":"-",
+        "size_pretraining_GB":"-",
         "source":"",
         "accuracy":{
             "mean":0.0468244729
@@ -327,7 +327,7 @@
         "model_type": "CLM",
         "num_params": 8000000000,
         "num_tokens":15000000000000.0,
-        "size_pretraining_GB":"N/A",
+        "size_pretraining_GB":"-",
         "source":"https://huggingface.co/meta-llama/Meta-Llama-3-8B", 
         "accuracy": {
           "mean": 0.68594,
@@ -340,8 +340,8 @@
         "model_family": "llama-3",
         "model_type": "CLM-IT",
         "num_params": 8000000000,
-        "num_tokens":"N/A",
-        "size_pretraining_GB":"N/A",
+        "num_tokens":"-",
+        "size_pretraining_GB":"-",
         "source":"https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct", 
         "accuracy": {
             "mean": 0.64084,