|
--- |
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language: |
|
- 'no' |
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license: cc |
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size_categories: |
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- 10K<n<100K |
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pretty_name: NoReC |
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configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: validation |
|
path: data/validation-* |
|
- split: test |
|
path: data/test-* |
|
dataset_info: |
|
language: |
|
- 'no' |
|
license: cc |
|
size_categories: |
|
- 10K<n<100K |
|
pretty_name: NoReC |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: validation |
|
path: data/validation-* |
|
- split: test |
|
path: data/test-* |
|
dataset_info: |
|
features: |
|
- name: id |
|
dtype: string |
|
- name: split |
|
dtype: string |
|
- name: rating |
|
dtype: int64 |
|
- name: category |
|
dtype: string |
|
- name: day |
|
dtype: int64 |
|
- name: month |
|
dtype: int64 |
|
- name: year |
|
dtype: int64 |
|
- name: excerpt |
|
dtype: string |
|
- name: language |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: authors |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: url |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 94334212 |
|
num_examples: 34749 |
|
- name: validation |
|
num_bytes: 13597517 |
|
num_examples: 4348 |
|
- name: test |
|
num_bytes: 13787751 |
|
num_examples: 4340 |
|
download_size: 77286913 |
|
dataset_size: 121719480 |
|
homepage: https://github.com/ltgoslo/norec |
|
citation: |- |
|
@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} |
|
} |
|
} |
|
task_categories: |
|
- text-classification |
|
--- |
|
# NoReC: The Norwegian Review Corpus |
|
This is the official repository for the Norwegian Review Corpus (NoReC, ver. 2.1), 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. The accompanying [paper](http://www.lrec-conf.org/proceedings/lrec2018/pdf/851.pdf) by Velldal et al. at LREC 2018 describes the initial (ver. 1) release of the data in more detail. |
|
|
|
## Dataset details |
|
- **The columns are:** |
|
`id, split, rating, category, day, month, year, excerpt, language, source, authors, title, url, text` where basic usage has `text` as the input and `rating` as the output. |
|
- **Curated by:** NoReC was created as part of the [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/) project (Sentiment Analysis for Norwegian Text), coordinated by the [Language Technology Group](https://www.mn.uio.no/ifi/english/research/groups/ltg/) (LTG) at the University of Oslo, in collaboration with the Norwegian Broadcasting Corporation (NRK), Schibsted Media Group and Aller Media. |
|
- **Funded by:** The [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/) project is funded by the [Research Council of Norway](https://www.forskningsradet.no/en/) (NFR grant number 270908). |
|
- **Shared by:** The [SANT](https://www.mn.uio.no/ifi/english/research/projects/sant/) project (Sentiment Analysis for Norwegian Text) at the [Language Technology Group](https://www.mn.uio.no/ifi/english/research/groups/ltg/) (LTG) at the University of Oslo |
|
- **Language(s) (NLP):** Norwegian Bokmål (nb) and Norwegian Nynorsk (nn)) |
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- **License:** The data is distributed under a Creative Commons Attribution-NonCommercial licence (CC BY-NC 4.0), access the full license text here: https://creativecommons.org/licenses/by-nc/4.0/ |
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The licence is motivated by the need to block the possibility of third parties redistributing the orignal reviews for commercial purposes. |
|
Note that **machine learned models**, extracted **lexicons**, **embeddings**, and similar resources that are created on the basis of NoReC are not considered to contain the original data and so **can be freely used also for commercial purposes** despite the non-commercial condition. |
|
- **Dataset Sources** This version of the corpus (v.2.1) comprises 43,436 review texts extracted from eight different news sources: Dagbladet, VG, Aftenposten, Bergens Tidende, Fædrelandsvennen, Stavanger Aftenblad, DinSide.no and P3.no. |
|
- **Repository:** https://github.com/ltgoslo/norec |
|
- **Paper :** [The accompanying paper by Velldal et al. at LREC 2018](http://www.lrec-conf.org/proceedings/lrec2018/pdf/851.pdf) describes the (initial release of the) data in more detail. |
|
|
|
|
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## Uses |
|
|
|
The dataset is intended for document-level sentiment analysis, to learn to predict the `rating` from the `text`. The field `category` can be considered the "domain" of each text. By filtering in and out `category` values, one may inspect cross-domain performance of a model. The other fields contain metadata preserved from the original version of the dataset, and may be used for further filtering and analyses. |
|
|
|
|
|
## Source Data |
|
This _2nd release, v.2.1_ of the corpus comprises 43,436 review texts extracted from eight different news sources: Dagbladet (db), VG (vg), Aftenposten (ap), Bergens Tidende (bt), Fædrelandsvennen (fvn), Stavanger Aftenblad (sa), DinSide.no (dinside) and P3.no (p3). |
|
|
|
In terms of publishing date the reviews mainly cover the time span 2003–2019, although it also includes a handful of reviews dating back as far as 1998. |
|
|
|
|
|
# Some statistics |
|
## Distribution over year and publication source |
|
All splits combined |
|
|
|
| year | ap | bt | db | dinside | fvn | p3 | sa | vg | Total | |
|
|-------:|-----:|-----:|------------:|----------:|------:|-----:|-----:|-----:|--------:| |
|
| 2003* | 0 | 4 | 0 | 143 | 0 | 25 | 0 | 286 | 458 | |
|
| 2004 | 0 | 44 | 0 | 142 | 0 | 12 | 19 | 984 | 1201 | |
|
| 2005 | 0 | 0 | 0 | 179 | 0 | 6 | 224 | 909 | 1318 | |
|
| 2006 | 0 | 0 | 0 | 240 | 0 | 11 | 294 | 778 | 1323 | |
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| 2007 | 0 | 0 | 0 | 139 | 0 | 127 | 400 | 725 | 1391 | |
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| 2008 | 0 | 0 | 0 | 119 | 0 | 216 | 369 | 739 | 1443 | |
|
| 2009 | 0 | 52 | 377 | 163 | 27 | 428 | 259 | 815 | 2121 | |
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| 2010 | 0 | 100 | 642 | 260 | 156 | 571 | 309 | 769 | 2807 | |
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| 2011 | 1 | 51 | 592 | 284 | 146 | 652 | 362 | 900 | 2988 | |
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| 2012 | 2 | 150 | 613 | 257 | 332 | 611 | 561 | 763 | 3289 | |
|
| 2013 | 4 | 160 | 527 | 216 | 213 | 619 | 433 | 1058 | 3230 | |
|
| 2014 | 39 | 291 | 501 | 236 | 357 | 546 | 387 | 1191 | 3548 | |
|
| 2015 | 249 | 235 | 728 | 245 | 456 | 499 | 620 | 849 | 3881 | |
|
| 2016 | 309 | 340 | 809 | 177 | 321 | 439 | 682 | 715 | 3792 | |
|
| 2017 | 649 | 491 | 921 | 248 | 692 | 567 | 822 | 687 | 5077 | |
|
| 2018 | 605 | 470 | 885 | 194 | 466 | 339 | 860 | 492 | 4311 | |
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| 2019 | 260 | 167 | 95 | 30 | 160 | 36 | 346 | 165 | 1259 | |
|
|
|
`2003*`: Including the 31 documents 1998-2002 |
|
|
|
## Distribution over split and rating |
|
|
|
| split | 1 | 2 | 3 | 4 | 5 | 6 | Total | |
|
|:--------|----:|-----:|-----:|------:|------:|-----:|--------:| |
|
| dev | 51 | 225 | 707 | 1409 | 1678 | 278 | 4348 | |
|
| test | 27 | 242 | 706 | 1385 | 1714 | 266 | 4340 | |
|
| train | 379 | 2287 | 6004 | 11304 | 12614 | 2161 | 34749 | |
|
|
|
## Distribution over split and category |
|
| split | games | literature | misc | music | products | restaurants | screen | sports | stage | Total | |
|
|:--------|--------:|-------------:|-------:|--------:|-----------:|--------------:|---------:|---------:|--------:|--------:| |
|
| dev | 179 | 539 | 28 | 1445 | 347 | 94 | 1569 | 15 | 132 | 4348 | |
|
| test | 180 | 547 | 24 | 1444 | 345 | 98 | 1579 | 16 | 107 | 4340 | |
|
| train | 1453 | 4337 | 156 | 11777 | 2771 | 745 | 12536 | 118 | 856 | 34749 | |
|
|
|
|
|
|
|
|
|
## Citation |
|
|
|
``` |
|
@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} |
|
} |
|
``` |
|
|
|
## Dataset Card Authors |
|
|
|
Vladislav Mikhailov and Erik Velldal |
|
|
|
## Dataset Card Contact |
|
|
|
[email protected] and [email protected] |
