Update README.md

README.md

@@ -61,22 +61,6 @@ data = load_dataset("NbAiLab/NPSC", config="16K_mp3_bokmaal", streaming=True)
 ### Dataset Summary
 The NPSC dataset contains json lines with language training data. Here is an example json line:
 ```json
-{
-                    "meeting_date": datasets.Value("string"),
-                    "sentence_order":  datasets.Value("int32"),
-                    "speaker_id" : datasets.Value("int32"),
-                    "speaker_name": datasets.Value("string"),
-                    "sentence_text": datasets.Value("string"),
-                    "sentence_language_code": datasets.Value("string"),
-                    "text": datasets.Value("string"),
-                    "start_time": datasets.Value("int32"),
-                    "end_time": datasets.Value("int32"),
-                    "normsentence_text": datasets.Value("string"),
-                    "transsentence_text": datasets.Value("string"),
-                    "translated": datasets.Value("int32"),
-                    "audio": datasets.features.Audio(sampling_rate=sampling_rate),
-
-}
 {
 "sentence_id": 49853,
 "sentence_order": 0,
@@ -85,14 +69,12 @@ The NPSC dataset contains json lines with language training data. Here is an exa
 "sentence_text": "Stortingets møte er lovlig satt",
 "sentence_language_code": "nb-NO",
 "text": "Stortingets møte er lovlig satt",
-"start_time": 320246, "end_time": 323590,
+"start_time": 320246, 
+"end_time": 323590,
 "normsentence_text": "Stortingets møte er lovlig satt",
 "transsentence_text": "Stortingets møte er lovleg sett",
 "translated": 1,
-"audio": {"path": "audio/20170110-095504_320246_323590.wav",
-"array": [.......]
-}
-
+"audio": {"path": "audio/20170110-095504_320246_323590.wav","array": [.......]}
 }
 !!!PES: Not all the fields above and below correspond to what is actually found
 in the json files. It would be good if you could correct this. When you have, I can
@@ -100,25 +82,26 @@ add further descriptions of the fields where needed.!!!
 
 ```
 ## Data Fields (!!!!We really need a descrption here - and maybe some cleaning!!!)
-|**id:** | String with id to source of line and a unique identifier|
-|:-----------|:------------|
-|**sentence_order** | String with order of sentence |
-|**speaker id** | Integer id of speaker |
-| **speaker_name** | String name of speaker |
-| **sentence_text** | String sentence text |
-| **sentence_language_code** | String sentence text (!!!LIST ALL ALTERNATIVES!!!)|
-| **text** | String sentence text. This is a copy of "sentence_text". It is included here to make it more convenient to interleave with other datasets.|
-| **start_time** | int start time |
-| **end_time** | int end time |
-| **normsentence_text** | String normalised sentence text |
-| **transsentence_text** | String translated sentence text |
-| **translated** | int text translated |
-| **audio** | audio audio record with 'path',(mp3) 'array','sampling_rate' (48000) |
+|**Key** | **Type** | **Description** |
+|:-----------|:------------|:------------|
+|**sentence_id:** | Integer | String with id to source of line and a unique identifier|
+|**sentence_order** | String |  with order of sentence |
+|**speaker id** | Integer | id of speaker |
+| **speaker_name** | String  | name of speaker |
+| **sentence_text** | String | sentence text |
+| **sentence_language_code** | String | sentence text (!!!LIST ALL ALTERNATIVES!!!)|
+| **text** | String | sentence text. This is a copy of "sentence_text". It is included here to make it more convenient to interleave with other datasets.|
+| **start_time** | Integer | start time |
+| **end_time** | Integer | end time |
+| **normsentence_text** | String | normalised sentence text |
+| **transsentence_text** | String | translated sentence text |
+| **translated** | Integer | text translated |
+| **audio** | array | Encoded audio with 'path', 'array','sampling_rate' |
 
 
 
 ### Dataset Creation
-We are providing a **train** and a **validation** split. The standard size of the validation is a single 1GB file, while train is sharded in 1GB chunks.
+We are providing a **train** and a **validation** split. The standard size of the validation is a single 1GB file, while train is charded in 1GB chunks.
 All files are gzipped. There is also a **test** split, which is not shared here. It is, however part of the [official release of the NPSC](https://www.nb.no/sprakbanken/ressurskatalog/oai-nb-no-sbr-58/).
 
 
@@ -139,9 +122,6 @@ The procedure for the dataset creation is described in detail in our paper.
 |      | Male: 61.7% | 
 
 
-!!!It would be great to know how many hours of Bokmål/Nynorsk/English(?) here!!!!!
-!!!PES: As long as we have the percentages, I don't think it is necessary!!!
-
 ## Considerations for Using the Data
 This corpus contains speech data. All recordings are of members of Parliament in a public setting, and can be distributed without any restrains.