id stringlengths 2 115 | author stringlengths 2 42 ⌀ | last_modified timestamp[us, tz=UTC] | downloads int64 0 8.87M | likes int64 0 3.84k | paperswithcode_id stringlengths 2 45 ⌀ | tags list | lastModified timestamp[us, tz=UTC] | createdAt stringlengths 24 24 | key stringclasses 1 value | created timestamp[us] | card stringlengths 1 1.01M | embedding list | library_name stringclasses 21 values | pipeline_tag stringclasses 27 values | mask_token null | card_data null | widget_data null | model_index null | config null | transformers_info null | spaces null | safetensors null | transformersInfo null | modelId stringlengths 5 111 ⌀ | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
tkuye/resuparse | tkuye | 2022-10-25T22:09:47Z | 18 | 0 | null | [
"license:apache-2.0",
"region:us"
] | 2022-10-25T22:09:47Z | 2022-10-25T19:29:03.000Z | 2022-10-25T19:29:03 | ---
license: apache-2.0
---
| [
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arbml/Zero_Shot_Cross_Lingual_NER_ar | arbml | 2022-10-25T22:24:08Z | 18 | 0 | null | [
"region:us"
] | 2022-10-25T22:24:08Z | 2022-10-25T21:32:08.000Z | 2022-10-25T21:32:08 | Entry not found | [
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voidful/librispeech_asr_text | voidful | 2022-10-27T11:59:48Z | 18 | 0 | null | [
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] | 2022-10-27T11:59:48Z | 2022-10-27T11:58:30.000Z | 2022-10-27T11:58:30 | Entry not found | [
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HuggingDavid/simple-mnist-flagging | HuggingDavid | 2022-11-10T12:39:11Z | 18 | 0 | null | [
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abhinavk/openpi_v2 | abhinavk | 2022-11-07T02:23:34Z | 18 | 1 | null | [
"task_categories:question-answering",
"task_categories:text-classification",
"task_ids:entity-linking-classification",
"task_ids:natural-language-inference",
"annotations_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"language:en",
"license:cc-by-4.0",
"r... | 2022-11-07T02:23:34Z | 2022-10-31T04:49:26.000Z | 2022-10-31T04:49:26 | ---
annotations_creators:
- expert-generated
language:
- en
language_creators: []
license:
- cc-by-4.0
multilinguality:
- monolingual
pretty_name: openpi_v2
size_categories:
- 10K<n<100K
source_datasets: []
tags: []
task_categories:
- question-answering
- text-classification
task_ids:
- entity-linking-classification
- natural-language-inference
---
# Dataset Card for openpi_v2
## 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
Open PI is the first dataset for tracking state changes in procedural text from arbitrary domains by using an unrestricted (open) vocabulary. Our solution is a new task formulation in which just the text is provided, from which a set of state changes (entity, attribute, before, after) is generated for each step, where the entity, attribute, and values must all be predicted from an open vocabulary.
### Supported Tasks and Leaderboards
- `Task 1`: Given paragraph (e.g., with 5 steps), identify entities that change (challenge: implicit entities, some explicit entities that don’t change)
- `Task 3`: Given paragraph, identify the attributes of entity that change (challenge: implicit entities, attributes & many combinations)
- `Task 4`: Given paragraph & an entity, identify the sequence of attribute value changes (challenge: implicit attributes)
- `Task 7`: Given image url, identify the visual attributes of entity and non-visual attributes of entity that change
### Languages
English
## Dataset Structure
### Data Instances
A typical instance in the dataset:
```
{
"goal": "goal1_text",
"steps": [
"step1_text",
"step2_text",
...
],
"topics": "topic1_annotation",
"image_urls": [
"step1_url_text",
"step2_url_text",
...
],
"states": [
{
"answers_openpiv1_metadata": {
"entity": "entity1 | entity2 | ...",
"attribute": "attribute1 | attribute2 | ...",
"answers": [
"before: step1_entity1_before | step1_entity2_before, after: step1_entity1_after | step1_entity2_after",
...
],
"modality": [
"step1_entity1_modality_id | step1_entity2_modality_id",
...
]
},
"entity": "entity1 | entity2 | ...",
"attribute": "attribute1 | attribute2 | ...",
"answers": [
"before: step1_entity1_before_merged | step1_entity2_before_merged, after: step1_entity1_after_merged | step1_entity2_after_merged",
...
]
}
]
}
```
### Data Fields
The following is an excerpt from the dataset README:
Within "goal", "steps", "topics", and "image_urls", the fields should be self-explanatory. Listed below is an explanation about those within "states":
#### Fields specific to questions:
### Data Splits
Train, Valid, Dev
## 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 [@github-username](https://github.com/<github-username>) for adding this dataset. | [
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eldelentes/me | eldelentes | 2022-11-01T21:37:36Z | 18 | 0 | null | [
"region:us"
] | 2022-11-01T21:37:36Z | 2022-11-01T21:36:26.000Z | 2022-11-01T21:36:26 | Entry not found | [
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huggingface-projects/sd-multiplayer-data | huggingface-projects | 2022-12-13T14:37:41Z | 18 | 2 | null | [
"region:us"
] | 2022-12-13T14:37:41Z | 2022-11-02T00:57:18.000Z | 2022-11-02T00:57:18 | To access an image use the following
Bucket URL: https://d26smi9133w0oo.cloudfront.net/
example:
https://d26smi9133w0oo.cloudfront.net/room-7/1670520485-CZk4C72xBr5wPfTpwDAnG6-7648_7008-a-chicken-breaking-through-a-mirrornnotn.webp
**Bucket URL/key**
SQLite
https://huggingface.co/datasets/huggingface-projects/sd-multiplayer-data/blob/main/rooms_data.db
```bash
sqlite> PRAGMA table_info(rooms_data);
0|id|INTEGER|1||1
1|room_id|TEXT|1||0
2|uuid|TEXT|1||0
3|x|INTEGER|1||0
4|y|INTEGER|1||0
5|prompt|TEXT|1||0
6|time|DATETIME|1||0
7|key|TEXT|1||0
$: sqlite3 rooms_data.db
SELECT * FROM rooms_data WHERE room_id = 'room-40';
```
JSON example
https://huggingface.co/datasets/huggingface-projects/sd-multiplayer-data/blob/main/room-39.json
```json
[
{
"id": 160103269,
"room_id": "room-7",
"uuid": "CZk4C72xBr5wPfTpwDAnG6",
"x": 7648,
"y": 7008,
"prompt": "7648_7008 a chicken breaking through a mirrornnotn webp",
"time": "2022-12-08T17:28:06+00:00",
"key": "room-7/1670520485-CZk4C72xBr5wPfTpwDAnG6-7648_7008-a-chicken-breaking-through-a-mirrornnotn.webp"
}
]
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Eddiefloat/d.nochka | Eddiefloat | 2022-11-02T02:16:29Z | 18 | 0 | null | [
"region:us"
] | 2022-11-02T02:16:29Z | 2022-11-02T02:15:19.000Z | 2022-11-02T02:15:19 | Entry not found | [
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henryscheible/crows_pairs | henryscheible | 2022-11-02T02:25:56Z | 18 | 0 | null | [
"region:us"
] | 2022-11-02T02:25:56Z | 2022-11-02T02:25:49.000Z | 2022-11-02T02:25:49 | ---
dataset_info:
features:
- name: label
dtype: int64
- name: input_ids
sequence: int32
- name: token_type_ids
sequence: int8
- name: attention_mask
sequence: int8
splits:
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num_bytes: 146765.59151193633
num_examples: 302
- name: train
num_bytes: 586090.4084880636
num_examples: 1206
download_size: 113445
dataset_size: 732856.0
---
# Dataset Card for "crows_pairs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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beyond/chinese_clean_passages_80m | beyond | 2022-12-06T07:09:20Z | 18 | 22 | null | [
"region:us"
] | 2022-12-06T07:09:20Z | 2022-11-02T02:53:49.000Z | 2022-11-02T02:53:49 | ---
dataset_info:
features:
- name: passage
dtype: string
splits:
- name: train
num_bytes: 18979214734
num_examples: 88328203
download_size: 1025261393
dataset_size: 18979214734
---
# `chinese_clean_passages_80m`
包含**8千余万**（88328203）个**纯净**中文段落，不包含任何字母、数字。\
Containing more than **80 million pure \& clean** Chinese passages, without any letters/digits/special tokens.
文本长度大部分介于50\~200个汉字之间。\
The passage length is approximately 50\~200 Chinese characters.
通过`datasets.load_dataset()`下载数据，会产生38个大小约340M的数据包，共约12GB，所以请确保有足够空间。\
Downloading the dataset will result in 38 data shards each of which is about 340M and 12GB in total. Make sure there's enough space in your device:)
```
>>>
passage_dataset = load_dataset('beyond/chinese_clean_passages_80m')
<<<
Downloading data: 100%|█| 341M/341M [00:06<00:00, 52.0MB
Downloading data: 100%|█| 342M/342M [00:06<00:00, 54.4MB
Downloading data: 100%|█| 341M/341M [00:06<00:00, 49.1MB
Downloading data: 100%|█| 341M/341M [00:14<00:00, 23.5MB
Downloading data: 100%|█| 341M/341M [00:10<00:00, 33.6MB
Downloading data: 100%|█| 342M/342M [00:07<00:00, 43.1MB
...(38 data shards)
```
本数据集被用于训练[GENIUS模型中文版](https://huggingface.co/spaces/beyond/genius)，如果这个数据集对您的研究有帮助，请引用以下论文。
This dataset is created for the pre-training of [GENIUS model](https://huggingface.co/spaces/beyond/genius), if you find this dataset useful, please cite our paper.
```
@article{guo2022genius,
title={GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation},
author={Guo, Biyang and Gong, Yeyun and Shen, Yelong and Han, Songqiao and Huang, Hailiang and Duan, Nan and Chen, Weizhu},
journal={arXiv preprint arXiv:2211.10330},
year={2022}
}
```
---
Acknowledgment:\
数据是基于[CLUE中文预训练语料集](https://github.com/CLUEbenchmark/CLUE)进行处理、过滤得到的。\
This dataset is processed/filtered from the [CLUE pre-training corpus](https://github.com/CLUEbenchmark/CLUE).
原始数据集引用:
```
@misc{bright_xu_2019_3402023,
author = {Bright Xu},
title = {NLP Chinese Corpus: Large Scale Chinese Corpus for NLP },
month = sep,
year = 2019,
doi = {10.5281/zenodo.3402023},
version = {1.0},
publisher = {Zenodo},
url = {https://doi.org/10.5281/zenodo.3402023}
}
```
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Eddiefloat/dinaeddie | Eddiefloat | 2022-11-02T03:44:08Z | 18 | 0 | null | [
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gary109/onset-drums_corpora_parliament_processed | gary109 | 2022-11-22T07:42:46Z | 18 | 0 | null | [
"region:us"
] | 2022-11-22T07:42:46Z | 2022-11-02T03:50:08.000Z | 2022-11-02T03:50:08 | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 43947
num_examples: 283
download_size: 14691
dataset_size: 43947
---
# Dataset Card for "onset-drums_corpora_parliament_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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dhmeltzer/goodreads_test | dhmeltzer | 2022-11-02T04:14:57Z | 18 | 0 | null | [
"region:us"
] | 2022-11-02T04:14:57Z | 2022-11-02T04:14:19.000Z | 2022-11-02T04:14:19 | ---
dataset_info:
features:
- name: review_text
dtype: string
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sequence: int32
- name: attention_mask
sequence: int8
splits:
- name: train
num_bytes: 1010427121
num_examples: 478033
download_size: 496736771
dataset_size: 1010427121
---
# Dataset Card for "goodreads_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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yenned/Yennedmtgcards | yenned | 2022-11-02T08:22:37Z | 18 | 0 | null | [
"region:us"
] | 2022-11-02T08:22:37Z | 2022-11-02T08:18:52.000Z | 2022-11-02T08:18:52 | Entry not found | [
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ozanba/final_project_dataset | ozanba | 2022-12-19T20:26:10Z | 18 | 0 | null | [
"license:other",
"region:us"
] | 2022-12-19T20:26:10Z | 2022-11-11T19:22:14.000Z | 2022-11-11T19:22:14 | ---
license: other
---
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andrewburns/8_icon_2k | andrewburns | 2022-11-11T20:19:59Z | 18 | 1 | null | [
"region:us"
] | 2022-11-11T20:19:59Z | 2022-11-11T20:04:11.000Z | 2022-11-11T20:04:11 | Entry not found | [
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vidhikatkoria/SGD_Restaurants | vidhikatkoria | 2023-03-21T20:51:19Z | 18 | 0 | null | [
"region:us"
] | 2023-03-21T20:51:19Z | 2022-11-11T21:15:54.000Z | 2022-11-11T21:15:54 | ---
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# Dataset Card for "SGD_Restaurants"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vidhikatkoria/SGD_Media | vidhikatkoria | 2023-03-21T20:51:44Z | 18 | 0 | null | [
"region:us"
] | 2023-03-21T20:51:44Z | 2022-11-11T21:16:07.000Z | 2022-11-11T21:16:07 | ---
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# Dataset Card for "SGD_Media"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vidhikatkoria/SGD_Events | vidhikatkoria | 2023-03-21T20:52:11Z | 18 | 0 | null | [
"region:us"
] | 2023-03-21T20:52:11Z | 2022-11-11T21:16:20.000Z | 2022-11-11T21:16:20 | ---
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# Dataset Card for "SGD_Events"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vidhikatkoria/SGD_Music | vidhikatkoria | 2023-03-21T20:52:36Z | 18 | 0 | null | [
"region:us"
] | 2023-03-21T20:52:36Z | 2022-11-11T21:16:34.000Z | 2022-11-11T21:16:34 | ---
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# Dataset Card for "SGD_Music"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vidhikatkoria/SGD_Movies | vidhikatkoria | 2023-03-21T20:53:02Z | 18 | 0 | null | [
"region:us"
] | 2023-03-21T20:53:02Z | 2022-11-11T21:16:47.000Z | 2022-11-11T21:16:47 | ---
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# Dataset Card for "SGD_Movies"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vidhikatkoria/SGD_RideSharing | vidhikatkoria | 2023-03-21T20:53:54Z | 18 | 0 | null | [
"region:us"
] | 2023-03-21T20:53:54Z | 2022-11-11T21:17:14.000Z | 2022-11-11T21:17:14 | ---
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# Dataset Card for "SGD_RideSharing"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vidhikatkoria/SGD_Buses | vidhikatkoria | 2023-03-21T20:54:45Z | 18 | 0 | null | [
"region:us"
] | 2023-03-21T20:54:45Z | 2022-11-11T21:17:39.000Z | 2022-11-11T21:17:39 | ---
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# Dataset Card for "SGD_Buses"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vidhikatkoria/SGD_Hotels | vidhikatkoria | 2023-03-21T20:55:11Z | 18 | 1 | null | [
"region:us"
] | 2023-03-21T20:55:11Z | 2022-11-11T21:17:52.000Z | 2022-11-11T21:17:52 | ---
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# Dataset Card for "SGD_Hotels"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vidhikatkoria/SGD_Services | vidhikatkoria | 2023-03-21T20:55:38Z | 18 | 0 | null | [
"region:us"
] | 2023-03-21T20:55:38Z | 2022-11-11T21:18:05.000Z | 2022-11-11T21:18:05 | ---
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# Dataset Card for "SGD_Services"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vidhikatkoria/SGD_Homes | vidhikatkoria | 2023-03-21T20:56:03Z | 18 | 0 | null | [
"region:us"
] | 2023-03-21T20:56:03Z | 2022-11-11T21:18:19.000Z | 2022-11-11T21:18:19 | ---
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# Dataset Card for "SGD_Homes"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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vidhikatkoria/SGD_Calendar | vidhikatkoria | 2023-03-21T20:56:53Z | 18 | 0 | null | [
"region:us"
] | 2023-03-21T20:56:53Z | 2022-11-11T21:18:44.000Z | 2022-11-11T21:18:44 | ---
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# Dataset Card for "SGD_Calendar"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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andrewburns/emoji | andrewburns | 2022-11-11T21:56:39Z | 18 | 0 | null | [
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andrewburns/emoji2 | andrewburns | 2022-11-11T21:57:44Z | 18 | 0 | null | [
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Allenbv/Jojos-bizarre-diffusiondataset | Allenbv | 2022-11-11T23:13:23Z | 18 | 1 | null | [
"license:creativeml-openrail-m",
"region:us"
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license: creativeml-openrail-m
---
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Ziyang/CC4M | Ziyang | 2022-11-12T06:33:23Z | 18 | 0 | null | [
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] | 2022-11-12T06:33:23Z | 2022-11-12T06:25:29.000Z | 2022-11-12T06:25:29 | The training and validation files of the conceptual captions dataset (4M). | [
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julianmoraes/mrbeast-thumbnail-captions | julianmoraes | 2022-11-12T08:37:17Z | 18 | 0 | null | [
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statworx/leipzip-swiss | statworx | 2022-11-21T16:19:02Z | 18 | 1 | null | [
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] | 2022-11-21T16:19:02Z | 2022-11-12T15:02:01.000Z | 2022-11-12T15:02:01 | ---
annotations_creators: []
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license:
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multilinguality:
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pretty_name: Leipzig Corpora Swiss German
size_categories:
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source_datasets: []
tags:
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task_categories:
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task_ids:
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---
# Dataset Card for Leipzig Corpora Swiss German
## Dataset Description
- **Homepage:** https://wortschatz.uni-leipzig.de/en/download/Swiss%20German
- **Repository:** https://huggingface.co/datasets/statworx/leipzip-swiss
### Dataset Summary
Swiss German Wikipedia corpus based on material from 2021.
The corpus gsw_wikipedia_2021 is a Swiss German Wikipedia corpus based on material from 2021. It contains 232,933 sentences and 3,824,547 tokens.
### Languages
Swiss-German
## Dataset Structure
### Data Instances
Single sentences.
### Data Fields
`sentence`: Text as string.
### Data Splits
[More Information Needed]
## Dataset Creation
### Source Data
#### Initial Data Collection and Normalization
https://corpora.uni-leipzig.de/en?corpusId=gsw_wikipedia_2021
## Additional Information
### Licensing Information
Creative-Commons-Lizenz CC BY-NC
### Citation Information
Leipzig Corpora Collection: Swiss German Wikipedia corpus based on material from 2021. Leipzig Corpora Collection. Dataset. https://corpora.uni-leipzig.de?corpusId=gsw_wikipedia_2021
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vegeta/nlplegal | vegeta | 2022-11-12T17:32:30Z | 18 | 0 | null | [
"region:us"
] | 2022-11-12T17:32:30Z | 2022-11-12T16:35:04.000Z | 2022-11-12T16:35:04 | ---
dataset_info:
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---
# Dataset Card for "nlplegal"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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zhangxinran/lolita-dress-ENG256 | zhangxinran | 2022-11-13T00:56:11Z | 18 | 1 | null | [
"region:us"
] | 2022-11-13T00:56:11Z | 2022-11-13T00:55:57.000Z | 2022-11-13T00:55:57 | ---
dataset_info:
features:
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splits:
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dataset_size: 82410459.0
---
# Dataset Card for "lolita-dress-ENG256"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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armixz/2020_BRFSS_Codebook_CDC | armixz | 2022-11-13T03:17:39Z | 18 | 0 | null | [
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bigbio/mayosrs | bigbio | 2022-12-22T15:44:58Z | 18 | 0 | null | [
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"region:us"
] | 2022-12-22T15:44:58Z | 2022-11-13T22:09:14.000Z | 2022-11-13T22:09:14 |
---
language:
- en
bigbio_language:
- English
license: cc0-1.0
multilinguality: monolingual
bigbio_license_shortname: CC0_1p0
pretty_name: MayoSRS
homepage: https://conservancy.umn.edu/handle/11299/196265
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks:
- SEMANTIC_SIMILARITY
---
# Dataset Card for MayoSRS
## Dataset Description
- **Homepage:** https://conservancy.umn.edu/handle/11299/196265
- **Pubmed:** False
- **Public:** True
- **Tasks:** STS
MayoSRS consists of 101 clinical term pairs whose relatedness was determined by nine medical coders and three physicians from the Mayo Clinic.
## Citation Information
```
@article{pedersen2007measures,
title={Measures of semantic similarity and relatedness in the biomedical domain},
author={Pedersen, Ted and Pakhomov, Serguei VS and Patwardhan, Siddharth and Chute, Christopher G},
journal={Journal of biomedical informatics},
volume={40},
number={3},
pages={288--299},
year={2007},
publisher={Elsevier}
}
```
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bigbio/paramed | bigbio | 2022-12-22T15:46:11Z | 18 | 1 | null | [
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"language:zh",
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---
language:
- en
- zh
bigbio_language:
- English
- Chinese
license: cc-by-4.0
multilinguality: multilingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: ParaMed
homepage: https://github.com/boxiangliu/ParaMed
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks:
- TRANSLATION
---
# Dataset Card for ParaMed
## Dataset Description
- **Homepage:** https://github.com/boxiangliu/ParaMed
- **Pubmed:** False
- **Public:** True
- **Tasks:** TRANSL
NEJM is a Chinese-English parallel corpus crawled from the New England Journal of Medicine website.
English articles are distributed through https://www.nejm.org/ and Chinese articles are distributed through
http://nejmqianyan.cn/. The corpus contains all article pairs (around 2000 pairs) since 2011.
## Citation Information
```
@article{liu2021paramed,
author = {Liu, Boxiang and Huang, Liang},
title = {ParaMed: a parallel corpus for English–Chinese translation in the biomedical domain},
journal = {BMC Medical Informatics and Decision Making},
volume = {21},
year = {2021},
url = {https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-021-01621-8},
doi = {10.1186/s12911-021-01621-8}
}
```
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hoskinson-center/proofnet | hoskinson-center | 2023-03-17T21:25:37Z | 18 | 8 | null | [
"license:mit",
"arxiv:2302.12433",
"region:us"
] | 2023-03-17T21:25:37Z | 2022-11-17T23:53:41.000Z | 2022-11-17T23:53:41 | ---
license: mit
---
# ProofNet
## Dataset Description
- **Repository:** [zhangir-azerbayev/ProofNet](https://github.com/zhangir-azerbayev/ProofNet)
- **Paper:** [ProofNet](https://mathai2022.github.io/papers/20.pdf)
- **Point of Contact:** [Zhangir Azerbayev](https://zhangir-azerbayev.github.io/)
### Dataset Summary
ProofNet is a benchmark for autoformalization and formal proving of undergraduate-level mathematics. The ProofNet benchmarks consists of 371 examples, each consisting of a formal theorem statement in Lean 3, a natural language theorem statement, and a natural language proof. The problems are primarily drawn from popular undergraduate pure mathematics textbooks and cover topics such as real and complex analysis, linear algebra, abstract algebra, and topology. We intend for ProofNet to be a challenging benchmark that will drive progress in autoformalization and automatic theorem proving.
**Citation**:
```bibtex
@misc{azerbayev2023proofnet,
title={ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics},
author={Zhangir Azerbayev and Bartosz Piotrowski and Hailey Schoelkopf and Edward W. Ayers and Dragomir Radev and Jeremy Avigad},
year={2023},
eprint={2302.12433},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```
### Leaderboard
**Statement Autoformalization**
| Model | Typecheck Rate | Accuracy |
| ---------------------------------- | -------------- | -------- |
| Davinci-code-002 (prompt retrieval)| 45.2 | 16.1 |
| Davinci-code-002 (in-context learning) | 23.7 | 13.4 |
| proofGPT-1.3B | 10.7 | 3.2 |
**Statement Informalization**
| Model | Accuracy |
| ---------------------------------- | -------- |
| Code-davinci-002 (in-context learning)| 62.3 |
| proofGPT-6.7B (in-context learning) | 6.5 |
| proofGPT-1.3B (in-context learning) | 4.3 |
### Data Fields
- `id`: Unique string identifier for the problem.
- `nl_statement`: Natural language theorem statement.
- `nl_proof`: Natural language proof, in LaTeX. Depends on `amsthm, amsmath, amssymb` packages.
- `formal_statement`: Formal theorem statement in Lean 3.
- `src_header`: File header including imports, namespaces, and locales required for the formal statement. Note that local import of [common.lean](https://github.com/zhangir-azerbayev/ProofNet/blob/main/benchmark/benchmark_to_publish/formal/common.lean), which has to be manually downloaded and place in the same directory as your `.lean` file containing the formal statement.
### Authors
Zhangir Azerbayev, Bartosz Piotrowski, Jeremy Avigad | [
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Juanchoxs/model1 | Juanchoxs | 2022-11-19T15:21:08Z | 18 | 0 | null | [
"license:openrail",
"region:us"
] | 2022-11-19T15:21:08Z | 2022-11-19T15:20:07.000Z | 2022-11-19T15:20:07 | ---
license: openrail
---
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4eJIoBek/nujdiki | 4eJIoBek | 2023-02-13T15:35:25Z | 18 | 0 | null | [
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"region:us"
] | 2023-02-13T15:35:25Z | 2022-11-19T16:23:30.000Z | 2022-11-19T16:23:30 | ---
license: wtfpl
---
два датасета: один с оригинальными нуждиками и один поменьше с пупами на основе нуждиков. оба в аудио и текстовом формате. | [
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Nikutka/L1_scraped_korpus_pelny_train | Nikutka | 2022-11-19T17:15:59Z | 18 | 0 | null | [
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---
# Dataset Card for "L1_scraped_korpus_pelny_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Nikutka/L1_scraped_korpus_pelny_test | Nikutka | 2022-11-19T17:16:03Z | 18 | 0 | null | [
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---
# Dataset Card for "L1_scraped_korpus_pelny_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Nikutka/L1_scraped_korpus_wzorcowy_train | Nikutka | 2022-11-19T17:18:32Z | 18 | 0 | null | [
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---
# Dataset Card for "L1_scraped_korpus_wzorcowy_train"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Nikutka/L1_scraped_korpus_wzorcowy_test | Nikutka | 2022-11-19T17:18:35Z | 18 | 0 | null | [
"region:us"
] | 2022-11-19T17:18:35Z | 2022-11-19T16:39:40.000Z | 2022-11-19T16:39:40 | ---
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---
# Dataset Card for "L1_scraped_korpus_wzorcowy_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Nikutka/L1_scraped_korpus_wzorcowy | Nikutka | 2022-11-19T17:18:41Z | 18 | 0 | null | [
"region:us"
] | 2022-11-19T17:18:41Z | 2022-11-19T16:39:44.000Z | 2022-11-19T16:39:44 | ---
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---
# Dataset Card for "L1_scraped_korpus_wzorcowy"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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starbotica/markkistler | starbotica | 2022-11-19T19:37:19Z | 18 | 0 | null | [
"license:unknown",
"region:us"
] | 2022-11-19T19:37:19Z | 2022-11-19T19:23:57.000Z | 2022-11-19T19:23:57 | ---
license: unknown
---
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albluc24/stefano-finetune | albluc24 | 2022-11-19T20:46:15Z | 18 | 0 | null | [
"region:us"
] | 2022-11-19T20:46:15Z | 2022-11-19T20:30:42.000Z | 2022-11-19T20:30:42 | ---
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---
# Dataset Card for "stefano-finetune"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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Whispering-GPT/two-minute-papers | Whispering-GPT | 2022-11-19T23:34:46Z | 18 | 1 | null | [
"task_categories:automatic-speech-recognition",
"whisper",
"whispering",
"base",
"region:us"
] | 2022-11-19T23:34:46Z | 2022-11-19T20:52:17.000Z | 2022-11-19T20:52:17 | ---
task_categories:
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tags:
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---
# Dataset Card for "two-minute-papers"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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0.36500999331474304,
0.5677316188812256,
-0.40370580554008484,
-0.0009023374295793474,
0.1735280603170395,
-0.1581152379512787,
0.7882304191589355,
0.30022644996643066,
-0.5706160068511963,
-0.33914169669151306,
-0.5307824015617371,
-0.53034043312... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
Guizmus/3DChanStyle | Guizmus | 2022-11-23T09:18:31Z | 18 | 0 | null | [
"license:creativeml-openrail-m",
"region:us"
] | 2022-11-23T09:18:31Z | 2022-11-20T09:49:14.000Z | 2022-11-20T09:49:14 | ---
license: creativeml-openrail-m
---
This is the dataset used for making the model : https://huggingface.co/Guizmus/SD_PoW_Collection
The images were made by the users of Stable Diffusion discord using CreativeML-OpenRail-M licenced models, in the intent to make this dataset.
60 pictures captioned with their content by hand, with the prefix "3D Style"
The collection process was made public during a day, until enough variety was introduced to train through a Dreambooth method a style corresponding to the different members of this community
The picture captioned are available in [this zip file](https://huggingface.co/datasets/Guizmus/3DChanStyle/resolve/main/3DChanStyle.zip) | [
-0.830938994884491,
-0.3432162404060364,
0.3323189318180084,
0.2020208090543747,
-0.37326866388320923,
0.02253563702106476,
0.2690718173980713,
-0.1822349727153778,
0.7008737921714783,
0.8113718032836914,
-0.858777642250061,
-0.4204038083553314,
-0.45890218019485474,
0.10190248489379883,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
louisbetsch/tweetclassification | louisbetsch | 2022-11-21T09:13:10Z | 18 | 0 | null | [
"region:us"
] | 2022-11-21T09:13:10Z | 2022-11-20T10:25:41.000Z | 2022-11-20T10:25:41 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
nsourlos/dreambooth | nsourlos | 2022-11-20T11:11:25Z | 18 | 0 | null | [
"region:us"
] | 2022-11-20T11:11:25Z | 2022-11-20T11:10:26.000Z | 2022-11-20T11:10:26 | Entry not found | [
-0.32276472449302673,
-0.22568407654762268,
0.8622258901596069,
0.4346148371696472,
-0.5282984972000122,
0.7012965679168701,
0.7915717363357544,
0.07618629932403564,
0.7746022939682007,
0.2563222646713257,
-0.785281777381897,
-0.22573848068714142,
-0.9104482531547546,
0.5715669393539429,
... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
research-backup/semeval2012_relational_similarity_v6 | research-backup | 2022-11-20T11:30:10Z | 18 | 0 | null | [
"multilinguality:monolingual",
"size_categories:1K<n<10K",
"language:en",
"license:other",
"region:us"
] | 2022-11-20T11:30:10Z | 2022-11-20T11:14:56.000Z | 2022-11-20T11:14:56 | ---
language:
- en
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
pretty_name: SemEval2012 task 2 Relational Similarity
---
# Dataset Card for "relbert/semeval2012_relational_similarity_V6"
## Dataset Description
- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
- **Paper:** [https://aclanthology.org/S12-1047/](https://aclanthology.org/S12-1047/)
- **Dataset:** SemEval2012: Relational Similarity
### Dataset Summary
***IMPORTANT***: This is the same dataset as [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_relational_similarity),
but with a different dataset construction.
Relational similarity dataset from [SemEval2012 task 2](https://aclanthology.org/S12-1047/), compiled to fine-tune [RelBERT](https://github.com/asahi417/relbert) model.
The dataset contains a list of positive and negative word pair from 89 pre-defined relations.
The relation types are constructed on top of following 10 parent relation types.
```shell
{
1: "Class Inclusion", # Hypernym
2: "Part-Whole", # Meronym, Substance Meronym
3: "Similar", # Synonym, Co-hypornym
4: "Contrast", # Antonym
5: "Attribute", # Attribute, Event
6: "Non Attribute",
7: "Case Relation",
8: "Cause-Purpose",
9: "Space-Time",
10: "Representation"
}
```
Each of the parent relation is further grouped into child relation types where the definition can be found [here](https://drive.google.com/file/d/0BzcZKTSeYL8VenY0QkVpZVpxYnc/view?resourcekey=0-ZP-UARfJj39PcLroibHPHw).
## Dataset Structure
### Data Instances
An example of `train` looks as follows.
```
{
'relation_type': '8d',
'positives': [ [ "breathe", "live" ], [ "study", "learn" ], [ "speak", "communicate" ], ... ]
'negatives': [ [ "starving", "hungry" ], [ "clean", "bathe" ], [ "hungry", "starving" ], ... ]
}
```
### Data Splits
| name |train|validation|
|---------|----:|---------:|
|semeval2012_relational_similarity| 89 | 89|
### Number of Positive/Negative Word-pairs in each Split
| | positives | negatives |
|:--------------------------------------------|------------:|------------:|
| ('1', 'parent', 'train') | 88 | 544 |
| ('1', 'parent', 'validation') | 22 | 136 |
| ('10', 'parent', 'train') | 48 | 584 |
| ('10', 'parent', 'validation') | 12 | 146 |
| ('10a', 'child', 'train') | 8 | 1324 |
| ('10a', 'child', 'validation') | 2 | 331 |
| ('10a', 'child_prototypical', 'train') | 194 | 1917 |
| ('10a', 'child_prototypical', 'validation') | 52 | 521 |
| ('10b', 'child', 'train') | 8 | 1325 |
| ('10b', 'child', 'validation') | 2 | 331 |
| ('10b', 'child_prototypical', 'train') | 180 | 1558 |
| ('10b', 'child_prototypical', 'validation') | 54 | 469 |
| ('10c', 'child', 'train') | 8 | 1327 |
| ('10c', 'child', 'validation') | 2 | 331 |
| ('10c', 'child_prototypical', 'train') | 170 | 1640 |
| ('10c', 'child_prototypical', 'validation') | 40 | 390 |
| ('10d', 'child', 'train') | 8 | 1328 |
| ('10d', 'child', 'validation') | 2 | 331 |
| ('10d', 'child_prototypical', 'train') | 154 | 1390 |
| ('10d', 'child_prototypical', 'validation') | 44 | 376 |
| ('10e', 'child', 'train') | 8 | 1329 |
| ('10e', 'child', 'validation') | 2 | 332 |
| ('10e', 'child_prototypical', 'train') | 134 | 884 |
| ('10e', 'child_prototypical', 'validation') | 40 | 234 |
| ('10f', 'child', 'train') | 8 | 1328 |
| ('10f', 'child', 'validation') | 2 | 331 |
| ('10f', 'child_prototypical', 'train') | 160 | 1460 |
| ('10f', 'child_prototypical', 'validation') | 38 | 306 |
| ('1a', 'child', 'train') | 8 | 1324 |
| ('1a', 'child', 'validation') | 2 | 331 |
| ('1a', 'child_prototypical', 'train') | 212 | 1854 |
| ('1a', 'child_prototypical', 'validation') | 34 | 338 |
| ('1b', 'child', 'train') | 8 | 1324 |
| ('1b', 'child', 'validation') | 2 | 331 |
| ('1b', 'child_prototypical', 'train') | 190 | 1712 |
| ('1b', 'child_prototypical', 'validation') | 56 | 480 |
| ('1c', 'child', 'train') | 8 | 1327 |
| ('1c', 'child', 'validation') | 2 | 331 |
| ('1c', 'child_prototypical', 'train') | 160 | 1528 |
| ('1c', 'child_prototypical', 'validation') | 50 | 502 |
| ('1d', 'child', 'train') | 8 | 1323 |
| ('1d', 'child', 'validation') | 2 | 330 |
| ('1d', 'child_prototypical', 'train') | 224 | 2082 |
| ('1d', 'child_prototypical', 'validation') | 46 | 458 |
| ('1e', 'child', 'train') | 8 | 1329 |
| ('1e', 'child', 'validation') | 2 | 332 |
| ('1e', 'child_prototypical', 'train') | 126 | 775 |
| ('1e', 'child_prototypical', 'validation') | 48 | 256 |
| ('2', 'parent', 'train') | 80 | 552 |
| ('2', 'parent', 'validation') | 20 | 138 |
| ('2a', 'child', 'train') | 8 | 1324 |
| ('2a', 'child', 'validation') | 2 | 330 |
| ('2a', 'child_prototypical', 'train') | 186 | 1885 |
| ('2a', 'child_prototypical', 'validation') | 72 | 736 |
| ('2b', 'child', 'train') | 8 | 1327 |
| ('2b', 'child', 'validation') | 2 | 331 |
| ('2b', 'child_prototypical', 'train') | 172 | 1326 |
| ('2b', 'child_prototypical', 'validation') | 38 | 284 |
| ('2c', 'child', 'train') | 8 | 1325 |
| ('2c', 'child', 'validation') | 2 | 331 |
| ('2c', 'child_prototypical', 'train') | 192 | 1773 |
| ('2c', 'child_prototypical', 'validation') | 42 | 371 |
| ('2d', 'child', 'train') | 8 | 1328 |
| ('2d', 'child', 'validation') | 2 | 331 |
| ('2d', 'child_prototypical', 'train') | 158 | 1329 |
| ('2d', 'child_prototypical', 'validation') | 40 | 338 |
| ('2e', 'child', 'train') | 8 | 1327 |
| ('2e', 'child', 'validation') | 2 | 331 |
| ('2e', 'child_prototypical', 'train') | 164 | 1462 |
| ('2e', 'child_prototypical', 'validation') | 46 | 463 |
| ('2f', 'child', 'train') | 8 | 1327 |
| ('2f', 'child', 'validation') | 2 | 331 |
| ('2f', 'child_prototypical', 'train') | 176 | 1869 |
| ('2f', 'child_prototypical', 'validation') | 34 | 371 |
| ('2g', 'child', 'train') | 8 | 1323 |
| ('2g', 'child', 'validation') | 2 | 330 |
| ('2g', 'child_prototypical', 'train') | 216 | 1925 |
| ('2g', 'child_prototypical', 'validation') | 54 | 480 |
| ('2h', 'child', 'train') | 8 | 1327 |
| ('2h', 'child', 'validation') | 2 | 331 |
| ('2h', 'child_prototypical', 'train') | 168 | 1540 |
| ('2h', 'child_prototypical', 'validation') | 42 | 385 |
| ('2i', 'child', 'train') | 8 | 1328 |
| ('2i', 'child', 'validation') | 2 | 332 |
| ('2i', 'child_prototypical', 'train') | 144 | 1335 |
| ('2i', 'child_prototypical', 'validation') | 42 | 371 |
| ('2j', 'child', 'train') | 8 | 1328 |
| ('2j', 'child', 'validation') | 2 | 331 |
| ('2j', 'child_prototypical', 'train') | 160 | 1595 |
| ('2j', 'child_prototypical', 'validation') | 38 | 369 |
| ('3', 'parent', 'train') | 64 | 568 |
| ('3', 'parent', 'validation') | 16 | 142 |
| ('3a', 'child', 'train') | 8 | 1327 |
| ('3a', 'child', 'validation') | 2 | 331 |
| ('3a', 'child_prototypical', 'train') | 174 | 1597 |
| ('3a', 'child_prototypical', 'validation') | 36 | 328 |
| ('3b', 'child', 'train') | 8 | 1327 |
| ('3b', 'child', 'validation') | 2 | 331 |
| ('3b', 'child_prototypical', 'train') | 174 | 1833 |
| ('3b', 'child_prototypical', 'validation') | 36 | 407 |
| ('3c', 'child', 'train') | 8 | 1326 |
| ('3c', 'child', 'validation') | 2 | 331 |
| ('3c', 'child_prototypical', 'train') | 186 | 1664 |
| ('3c', 'child_prototypical', 'validation') | 36 | 315 |
| ('3d', 'child', 'train') | 8 | 1324 |
| ('3d', 'child', 'validation') | 2 | 331 |
| ('3d', 'child_prototypical', 'train') | 202 | 1943 |
| ('3d', 'child_prototypical', 'validation') | 44 | 372 |
| ('3e', 'child', 'train') | 8 | 1332 |
| ('3e', 'child', 'validation') | 2 | 332 |
| ('3e', 'child_prototypical', 'train') | 98 | 900 |
| ('3e', 'child_prototypical', 'validation') | 40 | 368 |
| ('3f', 'child', 'train') | 8 | 1327 |
| ('3f', 'child', 'validation') | 2 | 331 |
| ('3f', 'child_prototypical', 'train') | 180 | 1983 |
| ('3f', 'child_prototypical', 'validation') | 30 | 362 |
| ('3g', 'child', 'train') | 8 | 1331 |
| ('3g', 'child', 'validation') | 2 | 332 |
| ('3g', 'child_prototypical', 'train') | 122 | 1089 |
| ('3g', 'child_prototypical', 'validation') | 28 | 251 |
| ('3h', 'child', 'train') | 8 | 1328 |
| ('3h', 'child', 'validation') | 2 | 331 |
| ('3h', 'child_prototypical', 'train') | 142 | 1399 |
| ('3h', 'child_prototypical', 'validation') | 56 | 565 |
| ('4', 'parent', 'train') | 64 | 568 |
| ('4', 'parent', 'validation') | 16 | 142 |
| ('4a', 'child', 'train') | 8 | 1327 |
| ('4a', 'child', 'validation') | 2 | 331 |
| ('4a', 'child_prototypical', 'train') | 170 | 1766 |
| ('4a', 'child_prototypical', 'validation') | 40 | 474 |
| ('4b', 'child', 'train') | 8 | 1330 |
| ('4b', 'child', 'validation') | 2 | 332 |
| ('4b', 'child_prototypical', 'train') | 132 | 949 |
| ('4b', 'child_prototypical', 'validation') | 30 | 214 |
| ('4c', 'child', 'train') | 8 | 1326 |
| ('4c', 'child', 'validation') | 2 | 331 |
| ('4c', 'child_prototypical', 'train') | 172 | 1755 |
| ('4c', 'child_prototypical', 'validation') | 50 | 446 |
| ('4d', 'child', 'train') | 8 | 1332 |
| ('4d', 'child', 'validation') | 2 | 333 |
| ('4d', 'child_prototypical', 'train') | 92 | 531 |
| ('4d', 'child_prototypical', 'validation') | 34 | 218 |
| ('4e', 'child', 'train') | 8 | 1326 |
| ('4e', 'child', 'validation') | 2 | 331 |
| ('4e', 'child_prototypical', 'train') | 184 | 2021 |
| ('4e', 'child_prototypical', 'validation') | 38 | 402 |
| ('4f', 'child', 'train') | 8 | 1328 |
| ('4f', 'child', 'validation') | 2 | 332 |
| ('4f', 'child_prototypical', 'train') | 144 | 1464 |
| ('4f', 'child_prototypical', 'validation') | 42 | 428 |
| ('4g', 'child', 'train') | 8 | 1324 |
| ('4g', 'child', 'validation') | 2 | 330 |
| ('4g', 'child_prototypical', 'train') | 212 | 2057 |
| ('4g', 'child_prototypical', 'validation') | 46 | 435 |
| ('4h', 'child', 'train') | 8 | 1326 |
| ('4h', 'child', 'validation') | 2 | 331 |
| ('4h', 'child_prototypical', 'train') | 170 | 1787 |
| ('4h', 'child_prototypical', 'validation') | 52 | 525 |
| ('5', 'parent', 'train') | 72 | 560 |
| ('5', 'parent', 'validation') | 18 | 140 |
| ('5a', 'child', 'train') | 8 | 1324 |
| ('5a', 'child', 'validation') | 2 | 331 |
| ('5a', 'child_prototypical', 'train') | 202 | 1876 |
| ('5a', 'child_prototypical', 'validation') | 44 | 439 |
| ('5b', 'child', 'train') | 8 | 1329 |
| ('5b', 'child', 'validation') | 2 | 332 |
| ('5b', 'child_prototypical', 'train') | 140 | 1310 |
| ('5b', 'child_prototypical', 'validation') | 34 | 330 |
| ('5c', 'child', 'train') | 8 | 1327 |
| ('5c', 'child', 'validation') | 2 | 331 |
| ('5c', 'child_prototypical', 'train') | 170 | 1552 |
| ('5c', 'child_prototypical', 'validation') | 40 | 373 |
| ('5d', 'child', 'train') | 8 | 1324 |
| ('5d', 'child', 'validation') | 2 | 330 |
| ('5d', 'child_prototypical', 'train') | 204 | 1783 |
| ('5d', 'child_prototypical', 'validation') | 54 | 580 |
| ('5e', 'child', 'train') | 8 | 1329 |
| ('5e', 'child', 'validation') | 2 | 332 |
| ('5e', 'child_prototypical', 'train') | 136 | 1283 |
| ('5e', 'child_prototypical', 'validation') | 38 | 357 |
| ('5f', 'child', 'train') | 8 | 1327 |
| ('5f', 'child', 'validation') | 2 | 331 |
| ('5f', 'child_prototypical', 'train') | 154 | 1568 |
| ('5f', 'child_prototypical', 'validation') | 56 | 567 |
| ('5g', 'child', 'train') | 8 | 1328 |
| ('5g', 'child', 'validation') | 2 | 332 |
| ('5g', 'child_prototypical', 'train') | 158 | 1626 |
| ('5g', 'child_prototypical', 'validation') | 28 | 266 |
| ('5h', 'child', 'train') | 8 | 1324 |
| ('5h', 'child', 'validation') | 2 | 330 |
| ('5h', 'child_prototypical', 'train') | 218 | 2348 |
| ('5h', 'child_prototypical', 'validation') | 40 | 402 |
| ('5i', 'child', 'train') | 8 | 1324 |
| ('5i', 'child', 'validation') | 2 | 331 |
| ('5i', 'child_prototypical', 'train') | 192 | 2010 |
| ('5i', 'child_prototypical', 'validation') | 54 | 551 |
| ('6', 'parent', 'train') | 64 | 568 |
| ('6', 'parent', 'validation') | 16 | 142 |
| ('6a', 'child', 'train') | 8 | 1324 |
| ('6a', 'child', 'validation') | 2 | 330 |
| ('6a', 'child_prototypical', 'train') | 204 | 1962 |
| ('6a', 'child_prototypical', 'validation') | 54 | 530 |
| ('6b', 'child', 'train') | 8 | 1327 |
| ('6b', 'child', 'validation') | 2 | 331 |
| ('6b', 'child_prototypical', 'train') | 180 | 1840 |
| ('6b', 'child_prototypical', 'validation') | 30 | 295 |
| ('6c', 'child', 'train') | 8 | 1325 |
| ('6c', 'child', 'validation') | 2 | 331 |
| ('6c', 'child_prototypical', 'train') | 180 | 1968 |
| ('6c', 'child_prototypical', 'validation') | 54 | 527 |
| ('6d', 'child', 'train') | 8 | 1328 |
| ('6d', 'child', 'validation') | 2 | 331 |
| ('6d', 'child_prototypical', 'train') | 164 | 1903 |
| ('6d', 'child_prototypical', 'validation') | 34 | 358 |
| ('6e', 'child', 'train') | 8 | 1327 |
| ('6e', 'child', 'validation') | 2 | 331 |
| ('6e', 'child_prototypical', 'train') | 170 | 1737 |
| ('6e', 'child_prototypical', 'validation') | 40 | 398 |
| ('6f', 'child', 'train') | 8 | 1326 |
| ('6f', 'child', 'validation') | 2 | 331 |
| ('6f', 'child_prototypical', 'train') | 174 | 1652 |
| ('6f', 'child_prototypical', 'validation') | 48 | 438 |
| ('6g', 'child', 'train') | 8 | 1326 |
| ('6g', 'child', 'validation') | 2 | 331 |
| ('6g', 'child_prototypical', 'train') | 188 | 1740 |
| ('6g', 'child_prototypical', 'validation') | 34 | 239 |
| ('6h', 'child', 'train') | 8 | 1324 |
| ('6h', 'child', 'validation') | 2 | 330 |
| ('6h', 'child_prototypical', 'train') | 230 | 2337 |
| ('6h', 'child_prototypical', 'validation') | 28 | 284 |
| ('7', 'parent', 'train') | 64 | 568 |
| ('7', 'parent', 'validation') | 16 | 142 |
| ('7a', 'child', 'train') | 8 | 1324 |
| ('7a', 'child', 'validation') | 2 | 331 |
| ('7a', 'child_prototypical', 'train') | 198 | 2045 |
| ('7a', 'child_prototypical', 'validation') | 48 | 516 |
| ('7b', 'child', 'train') | 8 | 1330 |
| ('7b', 'child', 'validation') | 2 | 332 |
| ('7b', 'child_prototypical', 'train') | 138 | 905 |
| ('7b', 'child_prototypical', 'validation') | 24 | 177 |
| ('7c', 'child', 'train') | 8 | 1327 |
| ('7c', 'child', 'validation') | 2 | 331 |
| ('7c', 'child_prototypical', 'train') | 170 | 1402 |
| ('7c', 'child_prototypical', 'validation') | 40 | 313 |
| ('7d', 'child', 'train') | 8 | 1324 |
| ('7d', 'child', 'validation') | 2 | 331 |
| ('7d', 'child_prototypical', 'train') | 196 | 2064 |
| ('7d', 'child_prototypical', 'validation') | 50 | 497 |
| ('7e', 'child', 'train') | 8 | 1328 |
| ('7e', 'child', 'validation') | 2 | 331 |
| ('7e', 'child_prototypical', 'train') | 156 | 1270 |
| ('7e', 'child_prototypical', 'validation') | 42 | 298 |
| ('7f', 'child', 'train') | 8 | 1326 |
| ('7f', 'child', 'validation') | 2 | 331 |
| ('7f', 'child_prototypical', 'train') | 178 | 1377 |
| ('7f', 'child_prototypical', 'validation') | 44 | 380 |
| ('7g', 'child', 'train') | 8 | 1328 |
| ('7g', 'child', 'validation') | 2 | 332 |
| ('7g', 'child_prototypical', 'train') | 144 | 885 |
| ('7g', 'child_prototypical', 'validation') | 42 | 263 |
| ('7h', 'child', 'train') | 8 | 1324 |
| ('7h', 'child', 'validation') | 2 | 331 |
| ('7h', 'child_prototypical', 'train') | 188 | 1479 |
| ('7h', 'child_prototypical', 'validation') | 58 | 467 |
| ('8', 'parent', 'train') | 64 | 568 |
| ('8', 'parent', 'validation') | 16 | 142 |
| ('8a', 'child', 'train') | 8 | 1324 |
| ('8a', 'child', 'validation') | 2 | 331 |
| ('8a', 'child_prototypical', 'train') | 186 | 1640 |
| ('8a', 'child_prototypical', 'validation') | 60 | 552 |
| ('8b', 'child', 'train') | 8 | 1330 |
| ('8b', 'child', 'validation') | 2 | 332 |
| ('8b', 'child_prototypical', 'train') | 122 | 1126 |
| ('8b', 'child_prototypical', 'validation') | 40 | 361 |
| ('8c', 'child', 'train') | 8 | 1326 |
| ('8c', 'child', 'validation') | 2 | 331 |
| ('8c', 'child_prototypical', 'train') | 192 | 1547 |
| ('8c', 'child_prototypical', 'validation') | 30 | 210 |
| ('8d', 'child', 'train') | 8 | 1325 |
| ('8d', 'child', 'validation') | 2 | 331 |
| ('8d', 'child_prototypical', 'train') | 184 | 1472 |
| ('8d', 'child_prototypical', 'validation') | 50 | 438 |
| ('8e', 'child', 'train') | 8 | 1327 |
| ('8e', 'child', 'validation') | 2 | 331 |
| ('8e', 'child_prototypical', 'train') | 174 | 1340 |
| ('8e', 'child_prototypical', 'validation') | 36 | 270 |
| ('8f', 'child', 'train') | 8 | 1326 |
| ('8f', 'child', 'validation') | 2 | 331 |
| ('8f', 'child_prototypical', 'train') | 166 | 1416 |
| ('8f', 'child_prototypical', 'validation') | 56 | 452 |
| ('8g', 'child', 'train') | 8 | 1330 |
| ('8g', 'child', 'validation') | 2 | 332 |
| ('8g', 'child_prototypical', 'train') | 124 | 640 |
| ('8g', 'child_prototypical', 'validation') | 38 | 199 |
| ('8h', 'child', 'train') | 8 | 1324 |
| ('8h', 'child', 'validation') | 2 | 331 |
| ('8h', 'child_prototypical', 'train') | 200 | 1816 |
| ('8h', 'child_prototypical', 'validation') | 46 | 499 |
| ('9', 'parent', 'train') | 72 | 560 |
| ('9', 'parent', 'validation') | 18 | 140 |
| ('9a', 'child', 'train') | 8 | 1324 |
| ('9a', 'child', 'validation') | 2 | 331 |
| ('9a', 'child_prototypical', 'train') | 192 | 1520 |
| ('9a', 'child_prototypical', 'validation') | 54 | 426 |
| ('9b', 'child', 'train') | 8 | 1326 |
| ('9b', 'child', 'validation') | 2 | 331 |
| ('9b', 'child_prototypical', 'train') | 186 | 1783 |
| ('9b', 'child_prototypical', 'validation') | 36 | 307 |
| ('9c', 'child', 'train') | 8 | 1330 |
| ('9c', 'child', 'validation') | 2 | 332 |
| ('9c', 'child_prototypical', 'train') | 118 | 433 |
| ('9c', 'child_prototypical', 'validation') | 44 | 163 |
| ('9d', 'child', 'train') | 8 | 1328 |
| ('9d', 'child', 'validation') | 2 | 332 |
| ('9d', 'child_prototypical', 'train') | 156 | 1683 |
| ('9d', 'child_prototypical', 'validation') | 30 | 302 |
| ('9e', 'child', 'train') | 8 | 1329 |
| ('9e', 'child', 'validation') | 2 | 332 |
| ('9e', 'child_prototypical', 'train') | 132 | 1426 |
| ('9e', 'child_prototypical', 'validation') | 42 | 475 |
| ('9f', 'child', 'train') | 8 | 1328 |
| ('9f', 'child', 'validation') | 2 | 331 |
| ('9f', 'child_prototypical', 'train') | 158 | 1436 |
| ('9f', 'child_prototypical', 'validation') | 40 | 330 |
| ('9g', 'child', 'train') | 8 | 1324 |
| ('9g', 'child', 'validation') | 2 | 331 |
| ('9g', 'child_prototypical', 'train') | 200 | 1685 |
| ('9g', 'child_prototypical', 'validation') | 46 | 384 |
| ('9h', 'child', 'train') | 8 | 1325 |
| ('9h', 'child', 'validation') | 2 | 331 |
| ('9h', 'child_prototypical', 'train') | 190 | 1799 |
| ('9h', 'child_prototypical', 'validation') | 44 | 462 |
| ('9i', 'child', 'train') | 8 | 1328 |
| ('9i', 'child', 'validation') | 2 | 332 |
| ('9i', 'child_prototypical', 'train') | 158 | 1361 |
| ('9i', 'child_prototypical', 'validation') | 28 | 252 |
### Citation Information
```
@inproceedings{jurgens-etal-2012-semeval,
title = "{S}em{E}val-2012 Task 2: Measuring Degrees of Relational Similarity",
author = "Jurgens, David and
Mohammad, Saif and
Turney, Peter and
Holyoak, Keith",
booktitle = "*{SEM} 2012: The First Joint Conference on Lexical and Computational Semantics {--} Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation ({S}em{E}val 2012)",
month = "7-8 " # jun,
year = "2012",
address = "Montr{\'e}al, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S12-1047",
pages = "356--364",
}
``` | [
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license: mit
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"evaluation",
"region:us"
] | 2022-11-20T19:51:00Z | 2022-11-20T19:50:23.000Z | 2022-11-20T19:50:23 | ---
type: predictions
tags:
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datasets:
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eval_info:
task: binary_classification
model: autoevaluate/binary-classification
metrics: ['matthews_correlation']
dataset_name: glue
dataset_config: sst2
dataset_split: validation
col_mapping:
text: sentence
target: label
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model. | [
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] | 2022-11-21T05:28:44Z | 2022-11-21T04:36:13.000Z | 2022-11-21T04:36:13 | ---
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datasets:
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task: text_zero_shot_classification
model: bigscience/bloom-1b7
metrics: []
dataset_name: futin/feed
dataset_config: top_en
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b7
* Dataset: futin/feed
* Config: top_en
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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type: predictions
tags:
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datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-3b
metrics: []
dataset_name: futin/feed
dataset_config: top_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-3b
* Dataset: futin/feed
* Config: top_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-sen_vi-b48d12-2175169952 | autoevaluate | 2022-11-21T07:20:12Z | 18 | 0 | null | [
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"region:us"
] | 2022-11-21T07:20:12Z | 2022-11-21T04:36:13.000Z | 2022-11-21T04:36:13 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-7b1
metrics: []
dataset_name: futin/feed
dataset_config: sen_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-7b1
* Dataset: futin/feed
* Config: sen_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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"evaluation",
"region:us"
] | 2022-11-21T05:33:19Z | 2022-11-21T04:36:13.000Z | 2022-11-21T04:36:13 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-3b
metrics: []
dataset_name: futin/feed
dataset_config: sen_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-3b
* Dataset: futin/feed
* Config: sen_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_vi-b5257d-2174969945 | autoevaluate | 2022-11-21T05:01:06Z | 18 | 0 | null | [
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"evaluation",
"region:us"
] | 2022-11-21T05:01:06Z | 2022-11-21T04:36:14.000Z | 2022-11-21T04:36:14 | ---
type: predictions
tags:
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- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-560m
metrics: []
dataset_name: futin/feed
dataset_config: top_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: futin/feed
* Config: top_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_en-246167-2175069946 | autoevaluate | 2022-11-21T05:55:13Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T05:55:13Z | 2022-11-21T04:36:14.000Z | 2022-11-21T04:36:14 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-3b
metrics: []
dataset_name: futin/feed
dataset_config: top_en
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-3b
* Dataset: futin/feed
* Config: top_en
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_en-246167-2175069947 | autoevaluate | 2022-11-21T08:24:24Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T08:24:24Z | 2022-11-21T04:36:14.000Z | 2022-11-21T04:36:14 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-7b1
metrics: []
dataset_name: futin/feed
dataset_config: top_en
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-7b1
* Dataset: futin/feed
* Config: top_en
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_en-246167-2175069949 | autoevaluate | 2022-11-21T05:08:39Z | 18 | 0 | null | [
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"evaluation",
"region:us"
] | 2022-11-21T05:08:39Z | 2022-11-21T04:36:18.000Z | 2022-11-21T04:36:18 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b1
metrics: []
dataset_name: futin/feed
dataset_config: top_en
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b1
* Dataset: futin/feed
* Config: top_en
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_vi-b5257d-2174969942 | autoevaluate | 2022-11-21T08:14:17Z | 18 | 0 | null | [
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"evaluation",
"region:us"
] | 2022-11-21T08:14:17Z | 2022-11-21T04:36:18.000Z | 2022-11-21T04:36:18 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-7b1
metrics: []
dataset_name: futin/feed
dataset_config: top_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-7b1
* Dataset: futin/feed
* Config: top_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-sen_vi-b48d12-2175169954 | autoevaluate | 2022-11-21T05:01:10Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T05:01:10Z | 2022-11-21T04:36:20.000Z | 2022-11-21T04:36:20 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-1b1
metrics: []
dataset_name: futin/feed
dataset_config: sen_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-1b1
* Dataset: futin/feed
* Config: sen_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-sen_vi-b48d12-2175169955 | autoevaluate | 2022-11-21T04:55:05Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T04:55:05Z | 2022-11-21T04:36:25.000Z | 2022-11-21T04:36:25 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: bigscience/bloom-560m
metrics: []
dataset_name: futin/feed
dataset_config: sen_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: bigscience/bloom-560m
* Dataset: futin/feed
* Config: sen_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469961 | autoevaluate | 2022-11-22T06:28:46Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-22T06:28:46Z | 2022-11-21T05:15:27.000Z | 2022-11-21T05:15:27 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-66b
metrics: []
dataset_name: futin/feed
dataset_config: top_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: futin/feed
* Config: top_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469962 | autoevaluate | 2022-11-21T16:33:23Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T16:33:23Z | 2022-11-21T05:23:15.000Z | 2022-11-21T05:23:15 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-30b
metrics: []
dataset_name: futin/feed
dataset_config: top_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-30b
* Dataset: futin/feed
* Config: top_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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comgongdaeng/InToFormal | comgongdaeng | 2022-11-21T05:57:51Z | 18 | 0 | null | [
"region:us"
] | 2022-11-21T05:57:51Z | 2022-11-21T05:33:14.000Z | 2022-11-21T05:33:14 | Entry not found | [
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autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469963 | autoevaluate | 2022-11-21T10:17:39Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T10:17:39Z | 2022-11-21T05:36:27.000Z | 2022-11-21T05:36:27 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-13b
metrics: []
dataset_name: futin/feed
dataset_config: top_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-13b
* Dataset: futin/feed
* Config: top_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469967 | autoevaluate | 2022-11-21T06:30:14Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T06:30:14Z | 2022-11-21T05:45:21.000Z | 2022-11-21T05:45:21 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-1.3b
metrics: []
dataset_name: futin/feed
dataset_config: top_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-1.3b
* Dataset: futin/feed
* Config: top_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469966 | autoevaluate | 2022-11-21T06:52:57Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T06:52:57Z | 2022-11-21T05:45:21.000Z | 2022-11-21T05:45:21 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-2.7b
metrics: []
dataset_name: futin/feed
dataset_config: top_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-2.7b
* Dataset: futin/feed
* Config: top_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_vi-71f14a-2175469968 | autoevaluate | 2022-11-21T06:06:13Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T06:06:13Z | 2022-11-21T05:55:48.000Z | 2022-11-21T05:55:48 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-125m
metrics: []
dataset_name: futin/feed
dataset_config: top_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-125m
* Dataset: futin/feed
* Config: top_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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DTU54DL/common-train-3k | DTU54DL | 2022-11-21T06:16:54Z | 18 | 0 | acronym-identification | [
"task_categories:token-classification",
"annotations_creators:expert-generated",
"language_creators:found",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"license:mit",
"region:us"
] | 2022-11-21T06:16:54Z | 2022-11-21T05:58:02.000Z | 2022-11-21T05:58:02 | ---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license:
- mit
multilinguality:
- monolingual
paperswithcode_id: acronym-identification
pretty_name: Acronym Identification Dataset
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- token-classification-other-acronym-identification
train-eval-index:
- col_mapping:
labels: tags
tokens: tokens
config: default
splits:
eval_split: test
task: token-classification
task_id: entity_extraction
---
# Dataset Card for [Dataset Name]
## 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 [@github-username](https://github.com/<github-username>) for adding this dataset.
| [
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autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569969 | autoevaluate | 2022-11-22T12:19:01Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-22T12:19:01Z | 2022-11-21T05:58:43.000Z | 2022-11-21T05:58:43 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-66b
metrics: []
dataset_name: futin/feed
dataset_config: top_en
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: futin/feed
* Config: top_en
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569973 | autoevaluate | 2022-11-21T06:24:47Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T06:24:47Z | 2022-11-21T06:13:14.000Z | 2022-11-21T06:13:14 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-350m
metrics: []
dataset_name: futin/feed
dataset_config: top_en
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-350m
* Dataset: futin/feed
* Config: top_en
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569974 | autoevaluate | 2022-11-21T07:33:13Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T07:33:13Z | 2022-11-21T06:32:43.000Z | 2022-11-21T06:32:43 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-2.7b
metrics: []
dataset_name: futin/feed
dataset_config: top_en
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-2.7b
* Dataset: futin/feed
* Config: top_en
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-top_en-c0540d-2175569975 | autoevaluate | 2022-11-21T07:12:40Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T07:12:40Z | 2022-11-21T06:37:55.000Z | 2022-11-21T06:37:55 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-1.3b
metrics: []
dataset_name: futin/feed
dataset_config: top_en
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-1.3b
* Dataset: futin/feed
* Config: top_en
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669979 | autoevaluate | 2022-11-21T11:06:18Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T11:06:18Z | 2022-11-21T07:28:15.000Z | 2022-11-21T07:28:15 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-13b
metrics: []
dataset_name: futin/feed
dataset_config: sen_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-13b
* Dataset: futin/feed
* Config: sen_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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matsogethijs/dreambooth-matsogethijs | matsogethijs | 2022-11-21T07:41:07Z | 18 | 0 | null | [
"region:us"
] | 2022-11-21T07:41:07Z | 2022-11-21T07:39:57.000Z | 2022-11-21T07:39:57 | Entry not found | [
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autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669980 | autoevaluate | 2022-11-21T09:56:56Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T09:56:56Z | 2022-11-21T07:40:54.000Z | 2022-11-21T07:40:54 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-6.7b
metrics: []
dataset_name: futin/feed
dataset_config: sen_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-6.7b
* Dataset: futin/feed
* Config: sen_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-staging-eval-project-90bfb636-8600-4a27-9171-c297c5e7f496-3331 | autoevaluate | 2022-11-21T07:47:36Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T07:47:36Z | 2022-11-21T07:46:57.000Z | 2022-11-21T07:46:57 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- glue
eval_info:
task: binary_classification
model: autoevaluate/binary-classification
metrics: ['matthews_correlation']
dataset_name: glue
dataset_config: sst2
dataset_split: validation
col_mapping:
text: sentence
target: label
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Binary Text Classification
* Model: autoevaluate/binary-classification
* Dataset: glue
* Config: sst2
* Split: validation
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669981 | autoevaluate | 2022-11-21T08:09:55Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T08:09:55Z | 2022-11-21T07:54:36.000Z | 2022-11-21T07:54:36 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-350m
metrics: []
dataset_name: futin/feed
dataset_config: sen_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-350m
* Dataset: futin/feed
* Config: sen_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669982 | autoevaluate | 2022-11-21T09:11:01Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T09:11:01Z | 2022-11-21T08:18:25.000Z | 2022-11-21T08:18:25 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-2.7b
metrics: []
dataset_name: futin/feed
dataset_config: sen_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-2.7b
* Dataset: futin/feed
* Config: sen_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669983 | autoevaluate | 2022-11-21T08:57:24Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T08:57:24Z | 2022-11-21T08:22:39.000Z | 2022-11-21T08:22:39 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-1.3b
metrics: []
dataset_name: futin/feed
dataset_config: sen_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-1.3b
* Dataset: futin/feed
* Config: sen_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-sen_vi-894567-2175669984 | autoevaluate | 2022-11-21T08:40:18Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T08:40:18Z | 2022-11-21T08:32:13.000Z | 2022-11-21T08:32:13 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-125m
metrics: []
dataset_name: futin/feed
dataset_config: sen_vi
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-125m
* Dataset: futin/feed
* Config: sen_vi
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-sen_en-2f01d7-2175769986 | autoevaluate | 2022-11-21T17:11:57Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-21T17:11:57Z | 2022-11-21T08:48:29.000Z | 2022-11-21T08:48:29 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-30b
metrics: []
dataset_name: futin/feed
dataset_config: sen_en
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-30b
* Dataset: futin/feed
* Config: sen_en
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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autoevaluate/autoeval-eval-futin__feed-sen_en-2f01d7-2175769985 | autoevaluate | 2022-11-22T03:31:20Z | 18 | 0 | null | [
"autotrain",
"evaluation",
"region:us"
] | 2022-11-22T03:31:20Z | 2022-11-21T08:48:30.000Z | 2022-11-21T08:48:30 | ---
type: predictions
tags:
- autotrain
- evaluation
datasets:
- futin/feed
eval_info:
task: text_zero_shot_classification
model: facebook/opt-66b
metrics: []
dataset_name: futin/feed
dataset_config: sen_en
dataset_split: test
col_mapping:
text: text
classes: classes
target: target
---
# Dataset Card for AutoTrain Evaluator
This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset:
* Task: Zero-Shot Text Classification
* Model: facebook/opt-66b
* Dataset: futin/feed
* Config: sen_en
* Split: test
To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator).
## Contributions
Thanks to [@futin](https://huggingface.co/futin) for evaluating this model. | [
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liuyanchen1015/VALUE_sst2_negative_concord | liuyanchen1015 | 2022-11-27T06:18:35Z | 18 | 0 | null | [
"region:us"
] | 2022-11-27T06:18:35Z | 2022-11-27T06:18:28.000Z | 2022-11-27T06:18:28 | ---
dataset_info:
features:
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splits:
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num_examples: 48
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- name: train
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download_size: 95928
dataset_size: 184944
---
# Dataset Card for "VALUE_sst2_negative_concord"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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kasnerz/hitab | kasnerz | 2023-03-14T15:09:50Z | 18 | 1 | null | [
"region:us"
] | 2023-03-14T15:09:50Z | 2022-11-28T07:51:14.000Z | 2022-11-28T07:51:14 | Entry not found | [
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fathyshalab/clinic-banking | fathyshalab | 2022-12-24T17:38:36Z | 18 | 0 | null | [
"region:us"
] | 2022-12-24T17:38:36Z | 2022-11-28T13:28:09.000Z | 2022-11-28T13:28:09 | ---
dataset_info:
features:
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dataset_size: 30059.0
---
# Dataset Card for "clinic-banking"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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justinian336/news-and-blogs | justinian336 | 2022-11-28T15:00:03Z | 18 | 1 | null | [
"region:us"
] | 2022-11-28T15:00:03Z | 2022-11-28T14:38:06.000Z | 2022-11-28T14:38:06 | ---
dataset_info:
features:
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splits:
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num_bytes: 11785675.449565798
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dataset_size: 11785675.449565798
---
# Dataset Card for "news-and-blogs"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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dkorat/sst2 | dkorat | 2022-11-28T15:21:46Z | 18 | 0 | null | [
"region:us"
] | 2022-11-28T15:21:46Z | 2022-11-28T15:20:37.000Z | 2022-11-28T15:20:37 | Entry not found | [
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dkorat/ag_news | dkorat | 2022-11-28T15:22:14Z | 18 | 0 | null | [
"region:us"
] | 2022-11-28T15:22:14Z | 2022-11-28T15:21:58.000Z | 2022-11-28T15:21:58 | Entry not found | [
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... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
KirbyShrine/bagbean | KirbyShrine | 2022-11-29T18:06:59Z | 18 | 0 | null | [
"license:cc-by-nd-4.0",
"region:us"
] | 2022-11-29T18:06:59Z | 2022-11-28T16:03:48.000Z | 2022-11-28T16:03:48 | ---
license: cc-by-nd-4.0
---
| [
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davanstrien/testgitupload | davanstrien | 2023-01-18T12:10:40Z | 18 | 0 | null | [
"arxiv:2211.10086",
"region:us"
] | 2023-01-18T12:10:40Z | 2022-11-28T16:55:47.000Z | 2022-11-28T16:55:47 | ---
tags:
- arxiv:2211.10086
---
TEST | [
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0.2751989662647247... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
liuyanchen1015/VALUE_mnli_negative_inversion | liuyanchen1015 | 2022-11-28T22:32:16Z | 18 | 0 | null | [
"region:us"
] | 2022-11-28T22:32:16Z | 2022-11-28T22:31:55.000Z | 2022-11-28T22:31:55 | ---
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
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dtype: int64
- name: idx
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splits:
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- name: test_matched
num_bytes: 3968
num_examples: 20
- name: test_mismatched
num_bytes: 3039
num_examples: 14
download_size: 93760
dataset_size: 152816
---
# Dataset Card for "VALUE2_mnli_negative_inversion"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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liuyanchen1015/VALUE_mnli_null_genetive | liuyanchen1015 | 2022-11-28T22:32:48Z | 18 | 0 | null | [
"region:us"
] | 2022-11-28T22:32:48Z | 2022-11-28T22:32:25.000Z | 2022-11-28T22:32:25 | ---
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
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dtype: int64
- name: idx
dtype: int64
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splits:
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- name: test_mismatched
num_bytes: 343629
num_examples: 1336
download_size: 8810876
dataset_size: 13503895
---
# Dataset Card for "VALUE2_mnli_null_genetive"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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-0.239684090018272... | null | null | null | null | null | null | null | null | null | null | null | null | null | |
mlxen/squad_validation_with_JJ_VB_synonyms | mlxen | 2022-11-29T21:29:40Z | 18 | 0 | null | [
"region:us"
] | 2022-11-29T21:29:40Z | 2022-11-29T06:06:25.000Z | 2022-11-29T06:06:25 | ---
dataset_info:
features:
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sequence:
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splits:
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num_bytes: 10484818
num_examples: 10570
download_size: 1825207
dataset_size: 10484818
---
# Dataset Card for "squad_validation_with_JJ_VB_synonyms"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | [
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0.14266721904277802... | null | null | null | null | null | null | null | null | null | null | null | null | null |
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