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README.md

@@ -88,36 +88,85 @@ configs:
 
 
 
-<img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/MediTurcaTextlogo.png"  width="30%" height="30%">
+<img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/TreeBench.png"  width="30%" height="30%">
 
 # Turkish Treebank Benchmarking 
 This is the repo for Turkish treebank benchmarking, namely evaluating Tranformer models on POS-DEP-MORPH task. 
-For the data, we used two datasets, [IMST]() and [BOUN](). We converted conllu format to json lines for being compatible to HF dataset formats.
+For the data, we used two treebank, [IMST](https://github.com/UniversalDependencies/UD_Turkish-IMST) and [BOUN](https://github.com/UniversalDependencies/UD_Turkish-BOUN). We converted conllu format to json lines for being compatible to HF dataset formats.
 
 Here are treebank sizes at a glance: 
 
-| Dataset | train size | dev size | test size| 
+| Dataset | train lines | dev lines | test lines| 
 |---|---|---|---|
-| BOUN  | 27.489.737  |36GB  | 4.41B  |
-|===============|=============|=============|==========|
-| IMST  | 69.703  | 6.8GB | 839M  |
-|===============|==============|============|===========|
+| BOUN  | 7803  | 979  | 979  |
+| IMST  | 3435  | 1100 | 1100  |
+
 
 
 
 A typical instance from the dataset looks like:
 
 ```
+{
+  "id": "ins_1267",
+  "tokens": [
+    "Rüzgâr",
+    "yine",
+    "güçlü",
+    "esiyor",
+    "du",
+    "."
+  ],
+  "upos": [
+    "NOUN",
+    "ADV",
+    "ADV",
+    "VERB",
+    "AUX",
+    "PUNCT"
+  ],
+  "heads": [
+    4,
+    4,
+    4,
+    0,
+    4,
+    4
+  ],
+  "rels": [
+    "nsubj",
+    "advmod",
+    "advmod",
+    "root",
+    "cop",
+    "punct"
+  ],
+  "feats": [
+    "Case=Nom|Number=Sing|Person=3",
+    "_",
+    "_",
+    "Aspect=Imp|Polarity=Pos|VerbForm=Part",
+    "Aspect=Perf|Evident=Fh|Number=Sing|Person=3|Tense=Past",
+    "_"
+  ],
+  "text": "Rüzgâr yine güçlü esiyor du .",
+  "feats_dict_json": [
+    "{\"Case\":\"Nom\",\"Number\":\"Sing\",\"Person\":\"3\"}",
+    "{}",
+    "{}",
+    "{\"Aspect\":\"Imp\",\"Polarity\":\"Pos\",\"VerbForm\":\"Part\"}",
+    "{\"Aspect\":\"Perf\",\"Evident\":\"Fh\",\"Number\":\"Sing\",\"Person\":\"3\",\"Tense\":\"Past\"}",
+    "{}"
+  ]
+}
 ```
 
 ## Benchmarking
+Benchmarking is done by scripts on accompanying [Github repo](https://github.com/turkish-nlp-suite/Treebank-Benchmarking). Please proceed to this repo for running the experiments.
+Here are the benchmarking results for BERTurk with our scripts: 
 
 
 
-Here are the benchmarking results for BERTurk: 
-
-### Test results (BOUN vs IMST)
-
 | Metric | BOUN | IMST |
 |---|---:|---:|
 | pos_acc | 0.9263 | 0.9377 |