system HF staff commited on
Commit
02fc876
1 Parent(s): 7ceb319

Update files from the datasets library (from 1.7.0)

Browse files

Release notes: https://github.com/huggingface/datasets/releases/tag/1.7.0

Files changed (2) hide show
  1. README.md +6 -5
  2. oscar.py +1 -1
README.md CHANGED
@@ -116,7 +116,7 @@ languages:
116
  - new
117
  - nl
118
  - nn
119
- - "no"
120
  - oc
121
  - or
122
  - os
@@ -845,6 +845,7 @@ task_categories:
845
  - sequence-modeling
846
  task_ids:
847
  - language-modeling
 
848
  ---
849
 
850
  # Dataset Card for "oscar"
@@ -852,12 +853,12 @@ task_ids:
852
  ## Table of Contents
853
  - [Dataset Description](#dataset-description)
854
  - [Dataset Summary](#dataset-summary)
855
- - [Supported Tasks](#supported-tasks)
856
  - [Languages](#languages)
857
  - [Dataset Structure](#dataset-structure)
858
  - [Data Instances](#data-instances)
859
  - [Data Fields](#data-fields)
860
- - [Data Splits Sample Size](#data-splits-sample-size)
861
  - [Dataset Creation](#dataset-creation)
862
  - [Curation Rationale](#curation-rationale)
863
  - [Source Data](#source-data)
@@ -884,7 +885,7 @@ task_ids:
884
 
885
  OSCAR or **O**pen **S**uper-large **C**rawled [**A**LMAnaCH](https://team.inria.fr/almanach/) co**R**pus is a huge multilingual corpus obtained by language classification and filtering of the [Common Crawl](https://commoncrawl.org/) corpus using the [goclassy](https://github.com/pjox/goclassy) architecture. Data is distributed by language in both original and deduplicated form.
886
 
887
- ### Supported Tasks
888
 
889
  OSCAR is mainly inteded to pretrain language models and word represantations.
890
 
@@ -6137,7 +6138,7 @@ The data fields are the same among all configs.
6137
  - `id`: a `int64` feature.
6138
  - `text`: a `string` feature.
6139
 
6140
- ### Data Splits Sample Size
6141
 
6142
 
6143
  <details>
 
116
  - new
117
  - nl
118
  - nn
119
+ - 'no'
120
  - oc
121
  - or
122
  - os
 
845
  - sequence-modeling
846
  task_ids:
847
  - language-modeling
848
+ paperswithcode_id: oscar
849
  ---
850
 
851
  # Dataset Card for "oscar"
 
853
  ## Table of Contents
854
  - [Dataset Description](#dataset-description)
855
  - [Dataset Summary](#dataset-summary)
856
+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
857
  - [Languages](#languages)
858
  - [Dataset Structure](#dataset-structure)
859
  - [Data Instances](#data-instances)
860
  - [Data Fields](#data-fields)
861
+ - [Data Splits](#data-splits)
862
  - [Dataset Creation](#dataset-creation)
863
  - [Curation Rationale](#curation-rationale)
864
  - [Source Data](#source-data)
 
885
 
886
  OSCAR or **O**pen **S**uper-large **C**rawled [**A**LMAnaCH](https://team.inria.fr/almanach/) co**R**pus is a huge multilingual corpus obtained by language classification and filtering of the [Common Crawl](https://commoncrawl.org/) corpus using the [goclassy](https://github.com/pjox/goclassy) architecture. Data is distributed by language in both original and deduplicated form.
887
 
888
+ ### Supported Tasks and Leaderboards
889
 
890
  OSCAR is mainly inteded to pretrain language models and word represantations.
891
 
 
6138
  - `id`: a `int64` feature.
6139
  - `text`: a `string` feature.
6140
 
6141
+ ### Data Splits
6142
 
6143
 
6144
  <details>
oscar.py CHANGED
@@ -355,7 +355,7 @@ class Oscar(datasets.GeneratorBasedBuilder):
355
  current_lines = []
356
  for filepath in filepaths:
357
  logger.info("generating examples from = %s", filepath)
358
- with gzip.open(filepath, "rt") as f:
359
  for line in f:
360
  if len(line.strip()) > 0:
361
  current_lines.append(line)
 
355
  current_lines = []
356
  for filepath in filepaths:
357
  logger.info("generating examples from = %s", filepath)
358
+ with gzip.open(filepath, "rt", encoding="utf-8") as f:
359
  for line in f:
360
  if len(line.strip()) > 0:
361
  current_lines.append(line)