pere commited on
Commit
25b3095
·
1 Parent(s): 066d250

small fix in json file

Browse files
Files changed (2) hide show
  1. README.md +52 -38
  2. x.json +3 -0
README.md CHANGED
@@ -63,30 +63,6 @@ from datasets import load_dataset
63
  data = load_dataset("nb/NPSC", streaming=True)
64
  ```
65
 
66
- ## Dataset Summary
67
- The NPSC dataset contains json lines with language training data. Here is an example json line:
68
- ```json
69
-
70
- {
71
- "sentence_id": 49853,
72
- "sentence_order": 0,
73
- "speaker_id": 32,
74
- "speaker_name": "Olemic Thommessen",
75
- "sentence_text": "Stortingets møte er lovlig satt",
76
- "sentence_language_code": "nb-NO",
77
- "text": "Stortingets møte er lovlig satt",
78
- "start_time": 320246, "end_time": 323590,
79
- "normsentence_text": "Stortingets møte er lovlig satt",
80
- "transsentence_text": "Stortingets møte er lovleg sett",
81
- "translated": 1,
82
- "audio": {"path": "audio/20170110-095504_320246_323590.wav",
83
- "array": [.......]
84
- }
85
-
86
- }
87
-
88
-
89
- ```
90
  ## Data Fields
91
  Currently there are two versions included in this repo.
92
 
@@ -95,25 +71,63 @@ This verison has a short list of the metadata and includes the audio (48k mp3) e
95
 
96
  The current dataloader script is associated with this version.
97
 
98
- |**id:** | String with id to source of line and a unique identifier|
99
- |:-----------|:------------|
100
- |**sentence_order** | String with order of sentence |
101
- |**speaker id** | Integer id of speaker |
102
- | **speaker_name** | String name of speaker |
103
- | **sentence_text** | String sentence text |
104
- | **sentence_language_code** | String sentence text |
105
- | **text** | String sentence text |
106
- | **start_time** | int start time |
107
- | **end_time** | int end time |
108
- | **normsentence_text** | String normalised sentence text |
109
- | **transsentence_text** | String translated sentence text |
110
- | **translated** | int text translated |
111
- | **audio** | audio audio record with 'path',(mp3) 'array','sampling_rate' (48000) |
112
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
113
 
114
  ### Version B
115
  This verison does not contain the audio encoded in the dataset. Instead it has the audio files placed in sub-directories. There are currently both samples in clips_48k_wav and clips_16k_mp3. Only the base filename is referred in the dataset. Please not that there are both sentence-based audio clips as well at meeting-based audio clips. The dataset contains referrals to both, the latter referral has start and stop time as well.
116
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
117
 
118
  ### Dataset Creation
119
  We are providing a **train**, **dev** and **test** split. These are the same as in the orginal corpus.
 
63
  data = load_dataset("nb/NPSC", streaming=True)
64
  ```
65
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
66
  ## Data Fields
67
  Currently there are two versions included in this repo.
68
 
 
71
 
72
  The current dataloader script is associated with this version.
73
 
74
+ One line in train.json looks like this:
 
 
 
 
 
 
 
 
 
 
 
 
 
75
 
76
+ ```json
77
+ {
78
+ "sentence_id": 7309,
79
+ "sentence_order": 0,
80
+ "speaker_id": 1,
81
+ "speaker_name": "Marit Nybakk",
82
+ "sentence_text": "Stortingets møte er lovlig satt",
83
+ "sentence_language_code": "nb-NO",
84
+ "text": "Stortingets møte er lovlig satt",
85
+ "start_time": 302650,
86
+ "end_time": 306000,
87
+ "normsentence_text": "Stortingets møte er lovlig satt",
88
+ "transsentence_text": "Stortingets møte er lovleg sett",
89
+ "translated": 1,
90
+ "audio": {
91
+ "path": "audio/20170207-095506_302650_306000.wav",
92
+ "array": [
93
+ 24,
94
+ 25,
95
+ 50,
96
+ (...)
97
+ ],
98
+ "sampling_rate": 48000
99
+ }
100
+ }
101
+ ```
102
 
103
  ### Version B
104
  This verison does not contain the audio encoded in the dataset. Instead it has the audio files placed in sub-directories. There are currently both samples in clips_48k_wav and clips_16k_mp3. Only the base filename is referred in the dataset. Please not that there are both sentence-based audio clips as well at meeting-based audio clips. The dataset contains referrals to both, the latter referral has start and stop time as well.
105
 
106
+ One line in the metadata.json looks like this:
107
+ ```json
108
+ i{
109
+ "meeting_date": "20170207",
110
+ "full_audio_file": "20170207-095506",
111
+ "proceedings_file": "20170207-095506.ref",
112
+ "duration": 4442474,
113
+ "transcriber_id": 1,
114
+ "reviewer_id": 2,
115
+ "data_split": "test",
116
+ "speaker_name": "Marit Nybakk",
117
+ "speaker_id": 1,
118
+ "sentence_id": 7309,
119
+ "sentence_language_code": "nb-NO",
120
+ "sentence_text": "Stortingets møte er lovlig satt",
121
+ "sentence_order": 0,
122
+ "audio_file": "20170207-095506_302650_306000",
123
+ "start_time": 302650,
124
+ "end_time": 306000,
125
+ "normsentence_text": "Stortingets møte er lovlig satt",
126
+ "transsentence_text": "Stortingets møte er lovleg sett",
127
+ "translated": 1
128
+ }
129
+ ```
130
+
131
 
132
  ### Dataset Creation
133
  We are providing a **train**, **dev** and **test** split. These are the same as in the orginal corpus.
x.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:950bb11d677996a46daa0eb6c6d2133791abc8e9894155b0cbd816d5b36fd4d2
3
+ size 582