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small language fix

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  1. README.md +2 -2
README.md CHANGED
@@ -51,7 +51,7 @@ task_ids:
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  The Norwegian Parliament Speech Corpus (NPSC) is a corpus for training a Norwegian ASR (Automatic Speech Recognition) models. The corpus is created by Språkbanken at the National Library in Norway.
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- NPSC is based on sound recording from meeting in the Norwegian Parliament. These talks are orthographically transcribed to either Norwegian Bokmål or Norwegian Nynorsk. In addition to the data actually included in this dataset, there is a significant amount of metadata that is included in the original corpus. Through the speaker id there is additional information about the speaker, like gender, age, and place of birth (ie dialect). Through the meeting id the corpus can be linked to the official minutes from the meetings.
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  The corpus is in total sound recordings from 40 entire days of meetings. This amounts to 140 hours of speech, 65,000 sentences or 1.2 million words.
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@@ -105,7 +105,7 @@ This verison does not contain the audio encoded in the dataset. Instead it has t
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  One line in the metadata.json looks like this:
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  ```json
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- i{
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  "meeting_date": "20170207",
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  "full_audio_file": "20170207-095506",
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  "proceedings_file": "20170207-095506.ref",
 
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  The Norwegian Parliament Speech Corpus (NPSC) is a corpus for training a Norwegian ASR (Automatic Speech Recognition) models. The corpus is created by Språkbanken at the National Library in Norway.
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+ NPSC is based on sound recording from meeting in the Norwegian Parliament. These talks are orthographically transcribed to either Norwegian Bokmål or Norwegian Nynorsk. In addition to the data actually included in this dataset, there is a significant amount of metadata that is included in the original corpus. Through the speaker id there is additional information about the speaker, like gender, age, and place of birth (ie dialect). Through the proceedings id the corpus can be linked to the official proceedings from the meetings.
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  The corpus is in total sound recordings from 40 entire days of meetings. This amounts to 140 hours of speech, 65,000 sentences or 1.2 million words.
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  One line in the metadata.json looks like this:
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  ```json
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+ {
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  "meeting_date": "20170207",
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  "full_audio_file": "20170207-095506",
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  "proceedings_file": "20170207-095506.ref",