Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
annotations_creators: | |
- expert-generated | |
language_creators: | |
- found | |
language: | |
- nb | |
- nn | |
- 'no' | |
license: | |
- cc-by-nc-4.0 | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 100K<n<1M | |
source_datasets: | |
- original | |
task_categories: | |
- token-classification | |
task_ids: | |
- named-entity-recognition | |
paperswithcode_id: norec | |
pretty_name: NoReC | |
dataset_info: | |
features: | |
- name: idx | |
dtype: string | |
- name: text | |
dtype: string | |
- name: tokens | |
sequence: string | |
- name: lemmas | |
sequence: string | |
- name: pos_tags | |
sequence: | |
class_label: | |
names: | |
'0': ADJ | |
'1': ADP | |
'2': ADV | |
'3': AUX | |
'4': CCONJ | |
'5': DET | |
'6': INTJ | |
'7': NOUN | |
'8': NUM | |
'9': PART | |
'10': PRON | |
'11': PROPN | |
'12': PUNCT | |
'13': SCONJ | |
'14': SYM | |
'15': VERB | |
'16': X | |
- name: xpos_tags | |
sequence: string | |
- name: feats | |
sequence: string | |
- name: head | |
sequence: string | |
- name: deprel | |
sequence: string | |
- name: deps | |
sequence: string | |
- name: misc | |
sequence: string | |
splits: | |
- name: train | |
num_bytes: 1254757266 | |
num_examples: 680792 | |
- name: validation | |
num_bytes: 189534106 | |
num_examples: 101106 | |
- name: test | |
num_bytes: 193801708 | |
num_examples: 101594 | |
download_size: 212492611 | |
dataset_size: 1638093080 | |
# Dataset Card for NoReC | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Annotations](#annotations) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Repository:** https://github.com/ltgoslo/norec | |
- **Paper:** http://www.lrec-conf.org/proceedings/lrec2018/pdf/851.pdf | |
- **Leaderboard:** [More Information Needed] | |
- **Point of Contact:** [More Information Needed] | |
### Dataset Summary | |
This dataset contains Norwegian Review Corpus (NoReC), created for the purpose of training and evaluating models for document-level sentiment analysis. More than 43,000 full-text reviews have been collected from major Norwegian news sources and cover a range of different domains, including literature, movies, video games, restaurants, music and theater, in addition to product reviews across a range of categories. Each review is labeled with a manually assigned score of 1–6, as provided by the rating of the original author. | |
### Supported Tasks and Leaderboards | |
[More Information Needed] | |
### Languages | |
The sentences in the dataset are in Norwegian (nb, nn, no). | |
## Dataset Structure | |
### Data Instances | |
A sample from training set is provided below: | |
``` | |
{'deprel': ['det', | |
'amod', | |
'cc', | |
'conj', | |
'nsubj', | |
'case', | |
'nmod', | |
'cop', | |
'case', | |
'case', | |
'root', | |
'flat:name', | |
'flat:name', | |
'punct'], | |
'deps': ['None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None'], | |
'feats': ["{'Gender': 'Masc', 'Number': 'Sing', 'PronType': 'Dem'}", | |
"{'Definite': 'Def', 'Degree': 'Pos', 'Number': 'Sing'}", | |
'None', | |
"{'Definite': 'Def', 'Degree': 'Pos', 'Number': 'Sing'}", | |
"{'Definite': 'Def', 'Gender': 'Masc', 'Number': 'Sing'}", | |
'None', | |
'None', | |
"{'Mood': 'Ind', 'Tense': 'Pres', 'VerbForm': 'Fin'}", | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None'], | |
'head': ['5', | |
'5', | |
'4', | |
'2', | |
'11', | |
'7', | |
'5', | |
'11', | |
'11', | |
'11', | |
'0', | |
'11', | |
'11', | |
'11'], | |
'idx': '000000-02-01', | |
'lemmas': ['den', | |
'andre', | |
'og', | |
'sist', | |
'sesong', | |
'av', | |
'Rome', | |
'være', | |
'ute', | |
'på', | |
'DVD', | |
'i', | |
'Norge', | |
'$.'], | |
'misc': ['None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
"{'SpaceAfter': 'No'}", | |
'None'], | |
'pos_tags': [5, 0, 4, 0, 7, 1, 11, 3, 1, 1, 11, 1, 11, 12], | |
'text': 'Den andre og siste sesongen av Rome er ute på DVD i Norge.', | |
'tokens': ['Den', | |
'andre', | |
'og', | |
'siste', | |
'sesongen', | |
'av', | |
'Rome', | |
'er', | |
'ute', | |
'på', | |
'DVD', | |
'i', | |
'Norge', | |
'.'], | |
'xpos_tags': ['None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None', | |
'None']} | |
``` | |
### Data Fields | |
The data instances have the following fields: | |
- deprel: [More Information Needed] | |
- deps: [More Information Needed] | |
- feats: [More Information Needed] | |
- head: [More Information Needed] | |
- idx: index | |
- lemmas: lemmas of all tokens | |
- misc: [More Information Needed] | |
- pos_tags: part of speech tags | |
- text: text string | |
- tokens: tokens | |
- xpos_tags: [More Information Needed] | |
The part of speech taggs correspond to these labels: "ADJ" (0), "ADP" (1), "ADV" (2), "AUX" (3), "CCONJ" (4), "DET" (5), "INTJ" (6), "NOUN" (7), "NUM" (8), "PART" (9), "PRON" (10), "PROPN" (11), "PUNCT" (12), "SCONJ" (13), "SYM" (14), "VERB" (15), "X" (16), | |
### Data Splits | |
The training, validation, and test set contain `680792`, `101106`, and `101594` sentences respectively. | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
[More Information Needed] | |
#### Initial Data Collection and Normalization | |
[More Information Needed] | |
#### Who are the source language producers? | |
[More Information Needed] | |
### Annotations | |
[More Information Needed] | |
#### Annotation process | |
[More Information Needed] | |
#### Who are the annotators? | |
[More Information Needed] | |
### Personal and Sensitive Information | |
[More Information Needed] | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[More Information Needed] | |
### Discussion of Biases | |
[More Information Needed] | |
### Other Known Limitations | |
[More Information Needed] | |
## Additional Information | |
### Dataset Curators | |
[More Information Needed] | |
### Licensing Information | |
[More Information Needed] | |
### Citation Information | |
``` | |
@InProceedings{VelOvrBer18, | |
author = {Erik Velldal and Lilja {\O}vrelid and | |
Eivind Alexander Bergem and Cathrine Stadsnes and | |
Samia Touileb and Fredrik J{\o}rgensen}, | |
title = {{NoReC}: The {N}orwegian {R}eview {C}orpus}, | |
booktitle = {Proceedings of the 11th edition of the | |
Language Resources and Evaluation Conference}, | |
year = {2018}, | |
address = {Miyazaki, Japan}, | |
pages = {4186--4191} | |
} | |
``` | |
### Contributions | |
Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset. |