albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#3)
ce1947a
language: | |
- en | |
paperswithcode_id: conll-2000-1 | |
pretty_name: CoNLL-2000 | |
dataset_info: | |
features: | |
- name: id | |
dtype: string | |
- name: tokens | |
sequence: string | |
- name: pos_tags | |
sequence: | |
class_label: | |
names: | |
'0': '''''' | |
'1': '#' | |
'2': $ | |
'3': ( | |
'4': ) | |
'5': ',' | |
'6': . | |
'7': ':' | |
'8': '``' | |
'9': CC | |
'10': CD | |
'11': DT | |
'12': EX | |
'13': FW | |
'14': IN | |
'15': JJ | |
'16': JJR | |
'17': JJS | |
'18': MD | |
'19': NN | |
'20': NNP | |
'21': NNPS | |
'22': NNS | |
'23': PDT | |
'24': POS | |
'25': PRP | |
'26': PRP$ | |
'27': RB | |
'28': RBR | |
'29': RBS | |
'30': RP | |
'31': SYM | |
'32': TO | |
'33': UH | |
'34': VB | |
'35': VBD | |
'36': VBG | |
'37': VBN | |
'38': VBP | |
'39': VBZ | |
'40': WDT | |
'41': WP | |
'42': WP$ | |
'43': WRB | |
- name: chunk_tags | |
sequence: | |
class_label: | |
names: | |
'0': O | |
'1': B-ADJP | |
'2': I-ADJP | |
'3': B-ADVP | |
'4': I-ADVP | |
'5': B-CONJP | |
'6': I-CONJP | |
'7': B-INTJ | |
'8': I-INTJ | |
'9': B-LST | |
'10': I-LST | |
'11': B-NP | |
'12': I-NP | |
'13': B-PP | |
'14': I-PP | |
'15': B-PRT | |
'16': I-PRT | |
'17': B-SBAR | |
'18': I-SBAR | |
'19': B-UCP | |
'20': I-UCP | |
'21': B-VP | |
'22': I-VP | |
splits: | |
- name: train | |
num_bytes: 5356965 | |
num_examples: 8937 | |
- name: test | |
num_bytes: 1201151 | |
num_examples: 2013 | |
download_size: 3481560 | |
dataset_size: 6558116 | |
# Dataset Card for "conll2000" | |
## 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 | |
- **Homepage:** [https://www.clips.uantwerpen.be/conll2000/chunking/](https://www.clips.uantwerpen.be/conll2000/chunking/) | |
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
- **Size of downloaded dataset files:** 3.48 MB | |
- **Size of the generated dataset:** 6.55 MB | |
- **Total amount of disk used:** 10.03 MB | |
### Dataset Summary | |
Text chunking consists of dividing a text in syntactically correlated parts of words. For example, the sentence | |
He reckons the current account deficit will narrow to only # 1.8 billion in September . can be divided as follows: | |
[NP He ] [VP reckons ] [NP the current account deficit ] [VP will narrow ] [PP to ] [NP only # 1.8 billion ] | |
[PP in ] [NP September ] . | |
Text chunking is an intermediate step towards full parsing. It was the shared task for CoNLL-2000. Training and test | |
data for this task is available. This data consists of the same partitions of the Wall Street Journal corpus (WSJ) | |
as the widely used data for noun phrase chunking: sections 15-18 as training data (211727 tokens) and section 20 as | |
test data (47377 tokens). The annotation of the data has been derived from the WSJ corpus by a program written by | |
Sabine Buchholz from Tilburg University, The Netherlands. | |
### Supported Tasks and Leaderboards | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Languages | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
## Dataset Structure | |
### Data Instances | |
#### conll2000 | |
- **Size of downloaded dataset files:** 3.48 MB | |
- **Size of the generated dataset:** 6.55 MB | |
- **Total amount of disk used:** 10.03 MB | |
An example of 'train' looks as follows. | |
``` | |
This example was too long and was cropped: | |
{ | |
"chunk_tags": [11, 13, 11, 12, 21, 22, 22, 22, 22, 11, 12, 12, 17, 11, 12, 13, 11, 0, 1, 13, 11, 11, 0, 21, 22, 22, 11, 12, 12, 13, 11, 12, 12, 11, 12, 12, 0], | |
"id": "0", | |
"pos_tags": [19, 14, 11, 19, 39, 27, 37, 32, 34, 11, 15, 19, 14, 19, 22, 14, 20, 5, 15, 14, 19, 19, 5, 34, 32, 34, 11, 15, 19, 14, 20, 9, 20, 24, 15, 22, 6], | |
"tokens": "[\"Confidence\", \"in\", \"the\", \"pound\", \"is\", \"widely\", \"expected\", \"to\", \"take\", \"another\", \"sharp\", \"dive\", \"if\", \"trade\", \"figur..." | |
} | |
``` | |
### Data Fields | |
The data fields are the same among all splits. | |
#### conll2000 | |
- `id`: a `string` feature. | |
- `tokens`: a `list` of `string` features. | |
- `pos_tags`: a `list` of classification labels, with possible values including `''` (0), `#` (1), `$` (2), `(` (3), `)` (4). | |
- `chunk_tags`: a `list` of classification labels, with possible values including `O` (0), `B-ADJP` (1), `I-ADJP` (2), `B-ADVP` (3), `I-ADVP` (4). | |
### Data Splits | |
| name |train|test| | |
|---------|----:|---:| | |
|conll2000| 8937|2013| | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
#### Who are the source language producers? | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Annotations | |
#### Annotation process | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
#### Who are the annotators? | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Personal and Sensitive Information | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Discussion of Biases | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Other Known Limitations | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
## Additional Information | |
### Dataset Curators | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Licensing Information | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Citation Information | |
``` | |
@inproceedings{tksbuchholz2000conll, | |
author = "Tjong Kim Sang, Erik F. and Sabine Buchholz", | |
title = "Introduction to the CoNLL-2000 Shared Task: Chunking", | |
editor = "Claire Cardie and Walter Daelemans and Claire | |
Nedellec and Tjong Kim Sang, Erik", | |
booktitle = "Proceedings of CoNLL-2000 and LLL-2000", | |
publisher = "Lisbon, Portugal", | |
pages = "127--132", | |
year = "2000" | |
} | |
``` | |
### Contributions | |
Thanks to [@vblagoje](https://github.com/vblagoje), [@jplu](https://github.com/jplu) for adding this dataset. |