Datasets:
Tags:
speech-modeling
License:
Update datacard
Browse files
README.md
CHANGED
@@ -82,16 +82,16 @@ The NPSC dataset contains JSON lines with language training data. The data loade
|
|
82 |
## Data Fields
|
83 |
|**Key** | **Type** | **Description** |
|
84 |
|:-----------|:------------|:------------|
|
85 |
-
|**sentence_id:** | Integer |
|
86 |
-
|**sentence_order** |
|
87 |
-
|**speaker_id** | Integer | The ID of the speaker. This can be linked to the original dataset containing thorough demographic information about the speaker. |
|
88 |
|**meeting_date** | String | The date for the meeting in the format __yyyymmdd__ |
|
89 |
-
| **speaker_name** | String | Name of the speaker. All speakers
|
90 |
-
| **sentence_text** | String | The sentence text. |
|
91 |
-
| **sentence_language_code** | String | The language code of the sentence. The following alternatives exists in the file: ['nb-NO'. 'nn-NO', 'en
|
92 |
| **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.|
|
93 |
| **start_time** | Integer | The start time of the sentence. This time is relative to the day of the meeting. |
|
94 |
-
| **end_time** | Integer | End time. See comment above. |
|
95 |
| **normsentence_text** | String | Normalised sentence text. This is !!! |
|
96 |
| **transsentence_text** | String | Translated sentence text. This is !!! |
|
97 |
| **translated** | Integer | A flag indicating if.... |
|
|
|
82 |
## Data Fields
|
83 |
|**Key** | **Type** | **Description** |
|
84 |
|:-----------|:------------|:------------|
|
85 |
+
|**sentence_id:** | Integer | Unique identifier of the sentence |
|
86 |
+
|**sentence_order** | Integer | A number indicating the order of the sentences in the meeting |
|
87 |
+
|**speaker_id** | Integer | The ID of the speaker. This can be linked to the original dataset containing thorough demographic and dialectal information about the speaker. |
|
88 |
|**meeting_date** | String | The date for the meeting in the format __yyyymmdd__ |
|
89 |
+
| **speaker_name** | String | Name of the speaker. All speakers were members of the Norwegian Parliament or members of the Norwegian Government at the meeting date |
|
90 |
+
| **sentence_text** | String | The sentence text. The transcribed text string of the sentence in non-normalized form. This is the text of the manual transcriptions, without any postprocessing (apart from corrections of known errors). It may contain interrupted words, non-standard words and function words with a pronunciation deviating from the written form. Detailed metadata about the words in the sentence can be found in the word-tokenized version of the corpus in the official release of the dataset. |
|
91 |
+
| **sentence_language_code** | String | The language code of the sentence. The following alternatives exists in the file: ['nb-NO'. 'nn-NO', 'en-US']|
|
92 |
| **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.|
|
93 |
| **start_time** | Integer | The start time of the sentence. This time is relative to the day of the meeting. |
|
94 |
+
| **end_time** | Integer | End time. See comment above. |
|
95 |
| **normsentence_text** | String | Normalised sentence text. This is !!! |
|
96 |
| **transsentence_text** | String | Translated sentence text. This is !!! |
|
97 |
| **translated** | Integer | A flag indicating if.... |
|