Datasets:
Tags:
speech-modeling
License:
Update README.md
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README.md
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@@ -65,6 +65,7 @@ The NPSC dataset contains JSON lines with language training data. The data loade
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"sentence_id": 49853,
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"sentence_order": 0,
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"speaker_id": 32,
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"speaker_name": "Olemic Thommessen",
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"sentence_text": "Stortingets møte er lovlig satt",
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"sentence_language_code": "nb-NO",
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@@ -83,7 +84,8 @@ The NPSC dataset contains JSON lines with language training data. The data loade
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|:-----------|:------------|:------------|
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|**sentence_id:** | Integer | String with id to source of line and a unique identifier ????|
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|**sentence_order** | String | The order of sentence ???|
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| **speaker_name** | String | Name of the speaker. All speakers are members of the Norwegian Parliament. |
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| **sentence_text** | String | The sentence text. |
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| **sentence_language_code** | String | The language code of the sentence. The following alternatives exists in the file: ['nb-NO'. 'nn-NO', 'en??]|
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"sentence_id": 49853,
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"sentence_order": 0,
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"speaker_id": 32,
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"meeting_date": "20170110",
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"speaker_name": "Olemic Thommessen",
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"sentence_text": "Stortingets møte er lovlig satt",
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"sentence_language_code": "nb-NO",
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|:-----------|:------------|:------------|
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|**sentence_id:** | Integer | String with id to source of line and a unique identifier ????|
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|**sentence_order** | String | The order of sentence ???|
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|**speaker_id** | Integer | The ID of the speaker. This can be linked to the original dataset containing thorough demographic information about the speaker. |
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|**meeting_date** | String | The date for the meeting in the format __yyyymmdd__ |
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| **speaker_name** | String | Name of the speaker. All speakers are members of the Norwegian Parliament. |
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| **sentence_text** | String | The sentence text. |
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| **sentence_language_code** | String | The language code of the sentence. The following alternatives exists in the file: ['nb-NO'. 'nn-NO', 'en??]|
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