|
--- |
|
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:** 3.32 MB |
|
- **Size of the generated dataset:** 6.25 MB |
|
- **Total amount of disk used:** 9.57 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:** 3.32 MB |
|
- **Size of the generated dataset:** 6.25 MB |
|
- **Total amount of disk used:** 9.57 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. |
