Update README.md

README.md

@@ -62,6 +62,27 @@ Score range: 0-2
 * 1: pronunciation is right but has a heavy accent
 * 0: pronunciation is incorrect or missed
 
+For the phones with an accuracy score lower than 0.5, an extra "mispronunciations" indicates which is the most likely phoneme that the current phone was actually pronounced.
+An example:
+
+```json
+{
+    "text": "LISA",
+    "accuracy": 5,
+    "phones": ["L", "IY1", "S", "AH0"],
+    "phones-accuracy": [0.4, 2, 2, 1.2],
+    "mispronunciations": [
+        {
+            "canonical-phone": "L",
+            "index": 0,
+            "pronounced-phone": "D"
+        }
+    ],
+    "stress": 10,
+    "total": 6
+}
+```
+
 ### Word level
 Score the accuracy and stress of each word's pronunciation.
 
@@ -109,121 +130,9 @@ Score range: 0 - 10
 * 3-4: Unstable speech speed, speak too fast or too slow, without the sense of rhythm
 * 0-2: Poor intonation and lots of stammering and pauses, unable to read a complete sentence
 
-## Data structure
-The following tree shows the file structure of this corpus:
-```
-├── scores.json
-├── scores-detail.json
-├── train
-│   ├── spk2age
-│   ├── spk2gender
-│   ├── spk2utt
-│   ├── text
-│   ├── utt2spk
-│   └── wav.scp
-├── test
-│   ├── spk2age
-│   ├── spk2gender
-│   ├── spk2utt
-│   ├── text
-│   ├── utt2spk
-│   └── wav.scp
-└── WAVE
-    ├── SPEAKER0001
-    │   ├── 000010011.WAV
-    │   ├── 000010035.WAV
-    │   ├── ...
-    │   └── 000010173.WAV
-    ├── SPEAKER0003
-    │   ├── 000030012.WAV
-    │   ├── 000030024.WAV
-    │   ├── ...
-    │   └── 000030175.WAV
-    └── SPEAKER0005
-        ├── 000050003.WAV
-        ├── 000050010.WAV
-        ├── ...
-        └── 000050175.WAV
-```
-
-There are two datasets: `train` and `test`, and both are in Kaldi's data directory style.
-
-
-The scores are stored in `scores.json`. Here is an example:
-
-```
-{
-    "000010011": {                                     # utt-id
-        "text": "WE CALL IT BEAR",                     # transcript text
-        "accuracy": 8,                                 # sentence-level accuracy score
-        "completeness": 10.0,                          # sentence-level completeness score
-        "fluency": 9,                                  # sentence-level fluency score
-        "prosodic": 9,                                 # sentence-level prosodic score
-        "total": 8,                                    # sentence-level total score
-        "words": [
-            {
-                "accuracy": 10,                        # word-level accuracy score
-                "stress": 10,                          # word-level stress score
-                "total": 10,                           # word-level total score
-                "text": "WE",                          # the word text
-                "phones": "W IY0",                     # phones of the word                        
-                "phones-accuracy": [2.0, 2.0]          # phoneme-level accuracy score
-            },
-            {
-                "accuracy": 10,
-                "stress": 10,
-                "total": 10,
-                "text": "CALL",
-                "phones": "K AO0 L",
-                "phones-accuracy": [2.0, 1.8, 1.8]
-            },
-            {
-                "accuracy": 10,
-                "stress": 10,
-                "total": 10,
-                "text": "IT",
-                "phones": "IH0 T",
-                "phones-accuracy": [2.0, 2.0]
-            },
-            {
-                "accuracy": 6,
-                "stress": 10,
-                "total": 6,
-                "text": "BEAR",
-                "phones": "B EH0 R",
-                "phones-accuracy": [2.0, 1.0, 1.0]
-            }
-        ]
-    },
-    ...
-}
-```
-
-For the phones with an accuracy score lower than 0.5, an extra "mispronunciations" block indicates which phoneme the current phone was actually pronounced.
-An example:
-
-```
-{
-    "text": "LISA",
-    "accuracy": 5,
-    "phones": ["L", "IY1", "S", "AH0"],
-    "phones-accuracy": [0.4, 2, 2, 1.2],
-    "mispronunciations": [
-        {
-            "canonical-phone": "L",
-            "index": 0,
-            "pronounced-phone": "D"
-        }
-    ],
-    "stress": 10,
-    "total": 6
-}
-```
-
-The file `scores.json` is processed from `scores-detail.json`.
-The two JSON files are almost the same, but `scores-detail.json` has the five experts' original scores, while the scores of scores.json were the average or median scores.
+## The original scores
 
-An example item in `scores-detail.json`:
+The all five experts' original scores could be found in `resource/raw-scores.json`. An example item:
 ```
 {
     "000010011": {
@@ -273,7 +182,7 @@ An example item in `scores-detail.json`:
 }
 ```
 
-In `scores-detail.json`, the phoneme-level scores are notated in the following convenient notation:
+In this file, the phoneme-level scores are notated in the following convenient notation:
 
 * for score 2, do not use any symbol
 * for score 1, use "{}" symbol