Fix: usage example

README.md

@@ -1,180 +1,180 @@
----
-pretty_name: Carolina
-annotations_creators:
-- no-annotation
-language_creators:
-- crowdsourced
-languages:
-- pt-BR
-licenses:
-- cc-by-nc-sa-4.0
-multilinguality:
-- monolingual
-size_categories:
-- 1B<n<10B
-source_datasets:
-- original
-task_categories:
-- sequence-modeling
-task_ids:
-- language-modeling
----
-
-# Dataset Card for Corpus Carolina
-
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks](#supported-tasks)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-
-
-## Dataset Description
-
-- **Homepage:** [sites.usp.br/corpuscarolina](https://sites.usp.br/corpuscarolina/)
-- **Current Version:** 1.1 (Ada)
-- **Point of Contact:** [Guilherme L. Mello](mailto:[email protected])
-
-
-### Dataset Summary
-
-Carolina is an Open Corpus for Linguistics and Artificial Intelligence with a
-robust volume of texts of varied typology in contemporary Brazilian Portuguese
-(1970-2021). This corpus contains documents and texts extracted from the web
-and includes information (metadata) about its provenance and tipology.
-
-The documents are clustered into taxonomies and the corpus can be loaded in complete or taxonomy modes. To load a single taxonomy, it is possible to pass a code as a parameter to the loading script (see the example bellow). Codes are 3-letters string and possible values are:
-
-- `dat` : datasets and other corpora;
-- `jud` : judicial branch;
-- `leg` : legislative branch;
-- `pub` : public domain works;
-- `soc` : social media;
-- `uni` : university domains;
-- `wik` : wikis.
-
-**Example:**
-
-```python
-from datasets import load_script
-
-# to load all taxonomies
-corpus_carolina = load_scrip("carolina-c4ai/corpus-carolina")
-
-# to load social media documents
-social_media = load_scrip("carolina-c4ai/corpus-carolina", taxonomy="soc")
-```
-
-### Supported Tasks
-
-Carolina corpus was compiled for academic purposes,
-namely linguistic and computational analysis.
-
-
-### Languages
-
-Contemporary Brazilian Portuguese (1970-2021).
-
-## Dataset Structure
-
-Files are stored inside `corpus` folder with a subfolder
-for each taxonomy. Every file folows a XML structure
-(TEI P5) and contains multiple extracted documents. For
-each document, the text and metadata are exposed as
-`text` and `meta` features, respectively.
-
-### Data Instances
-
-Every instance have the following structure.
-
-```
-{
-    "meta": datasets.Value("string"),
-    "text": datasets.Value("string")
-}
-```
-
-| Code | Taxonomy                   | Instances |  Size  |
-|:----:|:---------------------------|----------:|-------:|
-|      | **Total**                  |   1745187 | 7.3 GB |
-| dat  | Datasets and other Corpora |   1098717 | 3.3 GB |
-| wik  | Wikis                      |    603968 | 2.6 GB |
-| jud  | Judicial Branch            |     38068 | 1.4 GB |
-| leg  | Legislative Branch         |        14 |  20 MB |
-| soc  | Social Media               |      3449 |  15 MB |
-| uni  | University Domains         |       945 | 9.4 MB |
-| pub  | Public Domain Works        |        26 | 3.6 MB |
-||
-
-
-### Data Fields
-
-- `meta`: a XML string with a TEI conformant `teiHeader` tag. It is exposed as text and needs to be parsed in order to access the actual metada;
-- `text`: a string containing the extracted document.
-
-### Data Splits
-
-As a general corpus, Carolina does not have splits. In order to load the dataset, it is used `corpus` as its single split.
-
-
-## Additional Information
-
-
-### Dataset Curators
-
-The Corpus Carolina is developed by a multidisciplinary
-team of linguists and computer scientists, members of the
-Virtual Laboratory of Digital Humanities - LaViHD and the Artificial Intelligence Center of the University of São Paulo - C4AI.
-
-
-### Licensing Information
-
-The Open Corpus for Linguistics and Artificial Intelligence (Carolina) was
-compiled for academic purposes, namely linguistic and computational analysis.
-It is composed of texts assembled in various digital repositories, whose
-licenses are multiple and therefore should be observed when making use of the
-corpus. The Carolina headers are licensed under Creative Commons
-Attribution-NonCommercial-ShareAlike 4.0 International."
-
-
-### Citation Information
-
-```
-@misc{corpusCarolinaV1.1,
-    title={
-        Carolina:
-        The Open Corpus for Linguistics and Artificial Intelligence
-    },
-    author={
-        Finger, Marcelo and
-        Paixão de Sousa, Maria Clara and
-        Namiuti, Cristiane and
-        Martins do Monte, Vanessa and
-        Costa, Aline Silva and
-        Serras, Felipe Ribas and
-        Sturzeneker, Mariana Lourenço and
-        Guets, Raquel de Paula and
-        Mesquita, Renata Morais and
-        Mello, Guilherme Lamartine de and
-        Crespo, Maria Clara Ramos Morales and
-        Rocha, Maria Lina de Souza Jeannine and
-        Brasil, Patrícia and
-        Silva, Mariana Marques da and
-        Palma, Mayara Feliciano
-    },
-    howpublished={\url{
-        https://sites.usp.br/corpuscarolina/corpus}},
-    year={2022},
-    note={Version 1.1 (Ada)},
-}
-```
+---
+pretty_name: Carolina
+annotations_creators:
+- no-annotation
+language_creators:
+- crowdsourced
+languages:
+- pt-BR
+licenses:
+- cc-by-nc-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 1B<n<10B
+source_datasets:
+- original
+task_categories:
+- sequence-modeling
+task_ids:
+- language-modeling
+---
+
+# Dataset Card for Corpus Carolina
+
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+
+## Dataset Description
+
+- **Homepage:** [sites.usp.br/corpuscarolina](https://sites.usp.br/corpuscarolina/)
+- **Current Version:** 1.1 (Ada)
+- **Point of Contact:** [Guilherme L. Mello](mailto:[email protected])
+
+
+### Dataset Summary
+
+Carolina is an Open Corpus for Linguistics and Artificial Intelligence with a
+robust volume of texts of varied typology in contemporary Brazilian Portuguese
+(1970-2021). This corpus contains documents and texts extracted from the web
+and includes information (metadata) about its provenance and tipology.
+
+The documents are clustered into taxonomies and the corpus can be loaded in complete or taxonomy modes. To load a single taxonomy, it is possible to pass a code as a parameter to the loading script (see the example bellow). Codes are 3-letters string and possible values are:
+
+- `dat` : datasets and other corpora;
+- `jud` : judicial branch;
+- `leg` : legislative branch;
+- `pub` : public domain works;
+- `soc` : social media;
+- `uni` : university domains;
+- `wik` : wikis.
+
+Usage Example:
+
+```python
+from datasets import load_dataset
+
+# to load all taxonomies
+corpus_carolina = load_dataset("carolina-c4ai/corpus-carolina")
+
+# to load social media documents
+social_media = load_dataset("carolina-c4ai/corpus-carolina", taxonomy="soc")
+```
+
+### Supported Tasks
+
+Carolina corpus was compiled for academic purposes,
+namely linguistic and computational analysis.
+
+
+### Languages
+
+Contemporary Brazilian Portuguese (1970-2021).
+
+## Dataset Structure
+
+Files are stored inside `corpus` folder with a subfolder
+for each taxonomy. Every file folows a XML structure
+(TEI P5) and contains multiple extracted documents. For
+each document, the text and metadata are exposed as
+`text` and `meta` features, respectively.
+
+### Data Instances
+
+Every instance have the following structure.
+
+```
+{
+    "meta": datasets.Value("string"),
+    "text": datasets.Value("string")
+}
+```
+
+| Code | Taxonomy                   | Instances |  Size  |
+|:----:|:---------------------------|----------:|-------:|
+|      | **Total**                  |   1745187 | 7.3 GB |
+| dat  | Datasets and other Corpora |   1098717 | 3.3 GB |
+| wik  | Wikis                      |    603968 | 2.6 GB |
+| jud  | Judicial Branch            |     38068 | 1.4 GB |
+| leg  | Legislative Branch         |        14 |  20 MB |
+| soc  | Social Media               |      3449 |  15 MB |
+| uni  | University Domains         |       945 | 9.4 MB |
+| pub  | Public Domain Works        |        26 | 3.6 MB |
+||
+
+
+### Data Fields
+
+- `meta`: a XML string with a TEI conformant `teiHeader` tag. It is exposed as text and needs to be parsed in order to access the actual metada;
+- `text`: a string containing the extracted document.
+
+### Data Splits
+
+As a general corpus, Carolina does not have splits. In order to load the dataset, it is used `corpus` as its single split.
+
+
+## Additional Information
+
+
+### Dataset Curators
+
+The Corpus Carolina is developed by a multidisciplinary
+team of linguists and computer scientists, members of the
+Virtual Laboratory of Digital Humanities - LaViHD and the Artificial Intelligence Center of the University of São Paulo - C4AI.
+
+
+### Licensing Information
+
+The Open Corpus for Linguistics and Artificial Intelligence (Carolina) was
+compiled for academic purposes, namely linguistic and computational analysis.
+It is composed of texts assembled in various digital repositories, whose
+licenses are multiple and therefore should be observed when making use of the
+corpus. The Carolina headers are licensed under Creative Commons
+Attribution-NonCommercial-ShareAlike 4.0 International."
+
+
+### Citation Information
+
+```
+@misc{corpusCarolinaV1.1,
+    title={
+        Carolina:
+        The Open Corpus for Linguistics and Artificial Intelligence
+    },
+    author={
+        Finger, Marcelo and
+        Paixão de Sousa, Maria Clara and
+        Namiuti, Cristiane and
+        Martins do Monte, Vanessa and
+        Costa, Aline Silva and
+        Serras, Felipe Ribas and
+        Sturzeneker, Mariana Lourenço and
+        Guets, Raquel de Paula and
+        Mesquita, Renata Morais and
+        Mello, Guilherme Lamartine de and
+        Crespo, Maria Clara Ramos Morales and
+        Rocha, Maria Lina de Souza Jeannine and
+        Brasil, Patrícia and
+        Silva, Mariana Marques da and
+        Palma, Mayara Feliciano
+    },
+    howpublished={\url{
+        https://sites.usp.br/corpuscarolina/corpus}},
+    year={2022},
+    note={Version 1.1 (Ada)},
+}
+```