Datasets:
Tasks:
Text Classification
Sub-tasks:
multi-class-classification
Languages:
English
Multilinguality:
monolingual
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
License:
annotations_creators: | |
- found | |
language_creators: | |
- found | |
language: | |
- en | |
license: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 10K<n<100K | |
- 1K<n<10K | |
- n<1K | |
source_datasets: | |
- original | |
task_categories: | |
- text-classification | |
task_ids: | |
- multi-class-classification | |
paperswithcode_id: null | |
pretty_name: pragmeval | |
configs: | |
- emergent | |
- emobank-arousal | |
- emobank-dominance | |
- emobank-valence | |
- gum | |
- mrda | |
- pdtb | |
- persuasiveness-claimtype | |
- persuasiveness-eloquence | |
- persuasiveness-premisetype | |
- persuasiveness-relevance | |
- persuasiveness-specificity | |
- persuasiveness-strength | |
- sarcasm | |
- squinky-formality | |
- squinky-implicature | |
- squinky-informativeness | |
- stac | |
- switchboard | |
- verifiability | |
dataset_info: | |
- config_name: verifiability | |
features: | |
- name: sentence | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: experiential | |
1: unverifiable | |
2: non-experiential | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
num_bytes: 592520 | |
num_examples: 5712 | |
- name: validation | |
num_bytes: 65215 | |
num_examples: 634 | |
- name: test | |
num_bytes: 251799 | |
num_examples: 2424 | |
download_size: 5330724 | |
dataset_size: 909534 | |
- config_name: emobank-arousal | |
features: | |
- name: sentence | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: low | |
1: high | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
num_bytes: 567660 | |
num_examples: 5470 | |
- name: validation | |
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num_examples: 684 | |
- name: test | |
num_bytes: 69276 | |
num_examples: 683 | |
download_size: 5330724 | |
dataset_size: 708157 | |
- config_name: switchboard | |
features: | |
- name: sentence | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: Response Acknowledgement | |
1: Uninterpretable | |
2: Or-Clause | |
3: Reject | |
4: Statement-non-opinion | |
5: 3rd-party-talk | |
6: Repeat-phrase | |
7: Hold Before Answer/Agreement | |
8: Signal-non-understanding | |
9: Offers, Options Commits | |
10: Agree/Accept | |
11: Dispreferred Answers | |
12: Hedge | |
13: Action-directive | |
14: Tag-Question | |
15: Self-talk | |
16: Yes-No-Question | |
17: Rhetorical-Question | |
18: No Answers | |
19: Open-Question | |
20: Conventional-closing | |
21: Other Answers | |
22: Acknowledge (Backchannel) | |
23: Wh-Question | |
24: Declarative Wh-Question | |
25: Thanking | |
26: Yes Answers | |
27: Affirmative Non-yes Answers | |
28: Declarative Yes-No-Question | |
29: Backchannel in Question Form | |
30: Apology | |
31: Downplayer | |
32: Conventional-opening | |
33: Collaborative Completion | |
34: Summarize/Reformulate | |
35: Negative Non-no Answers | |
36: Statement-opinion | |
37: Appreciation | |
38: Other | |
39: Quotation | |
40: Maybe/Accept-part | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
num_bytes: 1021220 | |
num_examples: 18930 | |
- name: validation | |
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num_examples: 2113 | |
- name: test | |
num_bytes: 34013 | |
num_examples: 649 | |
download_size: 5330724 | |
dataset_size: 1171291 | |
- config_name: persuasiveness-eloquence | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: low | |
1: high | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
num_bytes: 153946 | |
num_examples: 725 | |
- name: validation | |
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num_examples: 91 | |
- name: test | |
num_bytes: 18379 | |
num_examples: 90 | |
download_size: 5330724 | |
dataset_size: 191701 | |
- config_name: mrda | |
features: | |
- name: sentence | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: Declarative-Question | |
1: Statement | |
2: Reject | |
3: Or-Clause | |
4: 3rd-party-talk | |
5: Continuer | |
6: Hold Before Answer/Agreement | |
7: Assessment/Appreciation | |
8: Signal-non-understanding | |
9: Floor Holder | |
10: Sympathy | |
11: Dispreferred Answers | |
12: Reformulate/Summarize | |
13: Exclamation | |
14: Interrupted/Abandoned/Uninterpretable | |
15: Expansions of y/n Answers | |
16: Action-directive | |
17: Tag-Question | |
18: Accept | |
19: Rhetorical-question Continue | |
20: Self-talk | |
21: Rhetorical-Question | |
22: Yes-No-question | |
23: Open-Question | |
24: Rising Tone | |
25: Other Answers | |
26: Commit | |
27: Wh-Question | |
28: Repeat | |
29: Follow Me | |
30: Thanking | |
31: Offer | |
32: About-task | |
33: Reject-part | |
34: Affirmative Non-yes Answers | |
35: Apology | |
36: Downplayer | |
37: Humorous Material | |
38: Accept-part | |
39: Collaborative Completion | |
40: Mimic Other | |
41: Understanding Check | |
42: Misspeak Self-Correction | |
43: Or-Question | |
44: Topic Change | |
45: Negative Non-no Answers | |
46: Floor Grabber | |
47: Correct-misspeaking | |
48: Maybe | |
49: Acknowledge-answer | |
50: Defending/Explanation | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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num_examples: 14484 | |
- name: validation | |
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num_examples: 1630 | |
- name: test | |
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num_examples: 6459 | |
download_size: 5330724 | |
dataset_size: 1495523 | |
- config_name: gum | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: preparation | |
1: evaluation | |
2: circumstance | |
3: solutionhood | |
4: justify | |
5: result | |
6: evidence | |
7: purpose | |
8: concession | |
9: elaboration | |
10: background | |
11: condition | |
12: cause | |
13: restatement | |
14: motivation | |
15: antithesis | |
16: no_relation | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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num_examples: 1700 | |
- name: validation | |
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num_examples: 259 | |
- name: test | |
num_bytes: 40334 | |
num_examples: 248 | |
download_size: 5330724 | |
dataset_size: 346140 | |
- config_name: emergent | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: observing | |
1: for | |
2: against | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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num_examples: 2076 | |
- name: validation | |
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num_examples: 259 | |
- name: test | |
num_bytes: 38842 | |
num_examples: 259 | |
download_size: 5330724 | |
dataset_size: 391047 | |
- config_name: persuasiveness-relevance | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: low | |
1: high | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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num_examples: 725 | |
- name: validation | |
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num_examples: 91 | |
- name: test | |
num_bytes: 18880 | |
num_examples: 90 | |
download_size: 5330724 | |
dataset_size: 191701 | |
- config_name: persuasiveness-specificity | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: low | |
1: high | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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num_examples: 504 | |
- name: validation | |
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num_examples: 62 | |
- name: test | |
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num_examples: 62 | |
download_size: 5330724 | |
dataset_size: 133072 | |
- config_name: persuasiveness-strength | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: low | |
1: high | |
- name: idx | |
dtype: int32 | |
splits: | |
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num_examples: 371 | |
- name: validation | |
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num_examples: 46 | |
- name: test | |
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num_examples: 46 | |
download_size: 5330724 | |
dataset_size: 99956 | |
- config_name: emobank-dominance | |
features: | |
- name: sentence | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: low | |
1: high | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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- name: validation | |
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num_examples: 798 | |
- name: test | |
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num_examples: 798 | |
download_size: 5330724 | |
dataset_size: 830424 | |
- config_name: squinky-implicature | |
features: | |
- name: sentence | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: low | |
1: high | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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num_examples: 3724 | |
- name: validation | |
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num_examples: 465 | |
- name: test | |
num_bytes: 56549 | |
num_examples: 465 | |
download_size: 5330724 | |
dataset_size: 586188 | |
- config_name: sarcasm | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: notsarc | |
1: sarc | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
num_bytes: 2177332 | |
num_examples: 3754 | |
- name: validation | |
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num_examples: 469 | |
- name: test | |
num_bytes: 269724 | |
num_examples: 469 | |
download_size: 5330724 | |
dataset_size: 2704890 | |
- config_name: squinky-formality | |
features: | |
- name: sentence | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: low | |
1: high | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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num_examples: 3622 | |
- name: validation | |
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num_examples: 453 | |
- name: test | |
num_bytes: 58242 | |
num_examples: 452 | |
download_size: 5330724 | |
dataset_size: 577884 | |
- config_name: stac | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: Comment | |
1: Contrast | |
2: Q_Elab | |
3: Parallel | |
4: Explanation | |
5: Narration | |
6: Continuation | |
7: Result | |
8: Acknowledgement | |
9: Alternation | |
10: Question_answer_pair | |
11: Correction | |
12: Clarification_question | |
13: Conditional | |
14: Sequence | |
15: Elaboration | |
16: Background | |
17: no_relation | |
- name: idx | |
dtype: int32 | |
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- name: train | |
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num_examples: 11230 | |
- name: validation | |
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num_examples: 1247 | |
- name: test | |
num_bytes: 70451 | |
num_examples: 1304 | |
download_size: 5330724 | |
dataset_size: 787820 | |
- config_name: pdtb | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: Synchrony | |
1: Contrast | |
2: Asynchronous | |
3: Conjunction | |
4: List | |
5: Condition | |
6: Pragmatic concession | |
7: Restatement | |
8: Pragmatic cause | |
9: Alternative | |
10: Pragmatic condition | |
11: Pragmatic contrast | |
12: Instantiation | |
13: Exception | |
14: Cause | |
15: Concession | |
- name: idx | |
dtype: int32 | |
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- name: train | |
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- name: validation | |
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num_examples: 1204 | |
- name: test | |
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num_examples: 1085 | |
download_size: 5330724 | |
dataset_size: 3481486 | |
- config_name: persuasiveness-premisetype | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: testimony | |
1: warrant | |
2: invented_instance | |
3: common_knowledge | |
4: statistics | |
5: analogy | |
6: definition | |
7: real_example | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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- name: validation | |
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num_examples: 71 | |
- name: test | |
num_bytes: 14395 | |
num_examples: 70 | |
download_size: 5330724 | |
dataset_size: 152946 | |
- config_name: squinky-informativeness | |
features: | |
- name: sentence | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: low | |
1: high | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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num_examples: 3719 | |
- name: validation | |
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num_examples: 465 | |
- name: test | |
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num_examples: 464 | |
download_size: 5330724 | |
dataset_size: 582174 | |
- config_name: persuasiveness-claimtype | |
features: | |
- name: sentence1 | |
dtype: string | |
- name: sentence2 | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: Value | |
1: Fact | |
2: Policy | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
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num_examples: 160 | |
- name: validation | |
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num_examples: 20 | |
- name: test | |
num_bytes: 3717 | |
num_examples: 19 | |
download_size: 5330724 | |
dataset_size: 38779 | |
- config_name: emobank-valence | |
features: | |
- name: sentence | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
0: low | |
1: high | |
- name: idx | |
dtype: int32 | |
splits: | |
- name: train | |
num_bytes: 539652 | |
num_examples: 5150 | |
- name: validation | |
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num_examples: 644 | |
- name: test | |
num_bytes: 66178 | |
num_examples: 643 | |
download_size: 5330724 | |
dataset_size: 668639 | |
# Dataset Card for pragmeval | |
## Table of Contents | |
- [Table of Contents](#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:** | |
- **Repository:** | |
- **Paper:** | |
- **Leaderboard:** | |
- **Point of Contact:** | |
### Dataset Summary | |
[More Information Needed] | |
### Supported Tasks and Leaderboards | |
[More Information Needed] | |
### Languages | |
[More Information Needed] | |
## Dataset Structure | |
### Data Instances | |
[More Information Needed] | |
### Data Fields | |
[More Information Needed] | |
### Data Splits | |
[More Information Needed] | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[More Information Needed] | |
#### Who are the source language producers? | |
[More Information Needed] | |
### Annotations | |
#### 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 | |
[More Information Needed] | |
### Contributions | |
Thanks to [@sileod](https://github.com/sileod) for adding this dataset. |