id stringlengths 2 115 | lastModified stringlengths 24 24 | tags list | author stringlengths 2 42 ⌀ | description stringlengths 0 6.67k ⌀ | citation stringlengths 0 10.7k ⌀ | likes int64 0 3.66k | downloads int64 0 8.89M | created timestamp[us] | card stringlengths 11 977k | card_len int64 11 977k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|
carles-undergrad-thesis/indo-mmarco-500k | 2023-09-24T02:42:17.000Z | [
"region:us"
] | carles-undergrad-thesis | null | null | 0 | 7 | 2023-09-24T02:42:05 | ---
dataset_info:
features:
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download_size: 152942907
dataset_size: 397074645
configs:
- config_name: default
data_files:
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path: data/train-*
---
# Dataset Card for "indo-mmarco-500k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 527 | [
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Hemann/Illusion_diffusion | 2023-10-02T11:25:25.000Z | [
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NusaCrowd/indosum | 2023-09-26T12:28:30.000Z | [
"language:ind",
"summarization",
"region:us"
] | NusaCrowd | INDOSUM is a new benchmark dataset for Indonesian text summarization.
The dataset consists of news articles and manually constructed summaries. | @INPROCEEDINGS{8629109,
author={Kurniawan, Kemal and Louvan, Samuel},
booktitle={2018 International Conference on Asian Language Processing (IALP)},
title={Indosum: A New Benchmark Dataset for Indonesian Text Summarization},
year={2018},
volume={},
number={},
pages={215-220},
doi={10.1109/IALP.2018.8629109}} | 0 | 7 | 2023-09-26T11:12:11 | ---
tags:
- summarization
language:
- ind
---
# indosum
INDOSUM is a new benchmark dataset for Indonesian text summarization.
The dataset consists of news articles and manually constructed summaries.
## Dataset Usage
Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
## Citation
```
@INPROCEEDINGS{8629109,
author={Kurniawan, Kemal and Louvan, Samuel},
booktitle={2018 International Conference on Asian Language Processing (IALP)},
title={Indosum: A New Benchmark Dataset for Indonesian Text Summarization},
year={2018},
volume={},
number={},
pages={215-220},
doi={10.1109/IALP.2018.8629109}}
```
## License
Apache License, Version 2.0
## Homepage
[https://github.com/kata-ai/indosum](https://github.com/kata-ai/indosum)
### NusaCatalogue
For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue) | 930 | [
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sjans/UCC | 2023-10-17T17:11:36.000Z | [
"region:us"
] | sjans | null | null | 0 | 7 | 2023-09-26T20:59:34 | Entry not found | 15 | [
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Yehoon/arc_hella_test | 2023-09-27T13:44:59.000Z | [
"region:us"
] | Yehoon | null | null | 0 | 7 | 2023-09-27T13:28:14 | ---
dataset_info:
features:
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dataset_size: 298140
---
# Dataset Card for "arc_hella_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 534 | [
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polinaeterna/glue | 2023-10-04T14:05:09.000Z | [
"region:us"
] | polinaeterna | GLUE, the General Language Understanding Evaluation benchmark
(https://gluebenchmark.com/) is a collection of resources for training,
evaluating, and analyzing natural language understanding systems. | @inproceedings{wang2019glue,
title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},
author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},
note={In the Proceedings of ICLR.},
year={2019}
} | 0 | 7 | 2023-09-27T16:17:47 | Entry not found | 15 | [
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AdityaNG/BengaluruDrivingDatasetRaw | 2023-09-29T04:06:50.000Z | [
"license:mit",
"video",
"driving",
"Bengaluru",
"disparity maps",
"depth dataset",
"arxiv:2307.10934",
"region:us"
] | AdityaNG | null | null | 0 | 7 | 2023-09-28T10:49:58 | ---
license: mit
tags:
- video
- driving
- Bengaluru
- disparity maps
- depth dataset
homepage: https://adityang.github.io/AdityaNG/BengaluruDrivingDataset/
---
# Bengaluru Driving Dataset
<img src="https://adityang.github.io/AdityaNG/BengaluruDrivingDataset/index_files/BDD_Iterator_Demo-2023-08-30_08.25.17.gif" >
## Dataset Summary
We gathered a dataset spanning 114 minutes and 165K frames in Bengaluru, India. Our dataset consists of video data from a calibrated camera sensor with a resolution of 1920×1080 recorded at a framerate of 30 Hz. We utilize a Depth Dataset Generation pipeline that only uses videos as input to produce high-resolution disparity maps.
## Paper
[Bengaluru Driving Dataset: 3D Occupancy Convolutional Transformer Network in Unstructured Traffic Scenarios](https://arxiv.org/abs/2307.10934)
## Citation
```bibtex
@misc{analgund2023octran,
title={Bengaluru Driving Dataset: 3D Occupancy Convolutional Transformer Network in Unstructured Traffic Scenarios},
author={Ganesh, Aditya N and Pobbathi Badrinath, Dhruval and
Kumar, Harshith Mohan and S, Priya and Narayan, Surabhi
},
year={2023},
howpublished={Spotlight Presentation at the Transformers for Vision Workshop, CVPR},
url={https://sites.google.com/view/t4v-cvpr23/papers#h.enx3bt45p649},
note={Transformers for Vision Workshop, CVPR 2023}
}
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ben-epstein/amazon_polarity_10_pct | 2023-09-30T15:00:45.000Z | [
"region:us"
] | ben-epstein | null | null | 0 | 7 | 2023-09-30T14:10:33 | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
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dtype:
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download_size: 120691417
dataset_size: 181542515
---
# Amazon Polarity 10pct
This is a direct subset of the original [Amazon Polarity](https://huggingface.co/datasets/amazon_polarity) dataset, downsampled 10pct with a random shuffle
### Dataset Summary
For quicker testing on Amazon Polarity. See https://huggingface.co/datasets/amazon_polarity for details and attributions
### Source Data
```python
from datasets import ClassLabel, Dataset, DatasetDict, load_dataset
ds_full = load_dataset("amazon_polarity", streaming=True)
ds_train_10_pct = Dataset.from_list(list(ds_full["train"].shuffle(seed=42).take(360_000)))
ds_test_10_pct = Dataset.from_list(list(ds_full["test"].shuffle(seed=42).take(40_000)))
ds_10_pct = DatasetDict({"train": ds_train_10_pct, "test": ds_test_10_pct})
# Need to recreate the class labels
class_label = ClassLabel(num_classes=2, names=["negative", "positive"])
ds_10_pct = ds_10_pct.map(lambda row: {"title": row["title"], "content": row["content"], "label": "negative" if not row["label"] else "positive"})
ds_10_pct = ds_10_pct.cast_column("label", class_label)
```
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BiancaZYCao/food_caption | 2023-10-01T15:46:02.000Z | [
"region:us"
] | BiancaZYCao | null | null | 0 | 7 | 2023-10-01T15:36:32 | ---
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path: data/train-*
---
# Dataset Card for "food_caption"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 506 | [
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FelixdoingAI/IP2P-5000 | 2023-10-02T07:35:04.000Z | [
"region:us"
] | FelixdoingAI | null | null | 0 | 7 | 2023-10-02T07:34:05 | ---
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configs:
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data_files:
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path: data/train-*
---
# Dataset Card for "instructpix2pix-clip-filtered5000-samples"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 654 | [
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BaffledCoder/EnvironmentalScience | 2023-10-06T13:09:13.000Z | [
"region:us"
] | BaffledCoder | null | null | 0 | 7 | 2023-10-02T08:11:51 | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---
# Dataset Card for Dataset Name
## Dataset Description
- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
### 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
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mesolitica/google-translate-commitpackft | 2023-10-02T08:24:04.000Z | [
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DR-DRR/Medical_Customer_care | 2023-10-04T06:09:10.000Z | [
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FelixdoingAI/ip2p-adwm-5000 | 2023-10-03T03:52:47.000Z | [
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] | FelixdoingAI | null | null | 0 | 7 | 2023-10-02T11:18:04 | ---
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---
# Dataset Card for "ip2p-adwm-5000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 590 | [
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Haary/train_usk | 2023-10-03T04:07:11.000Z | [
"region:us"
] | Haary | null | null | 0 | 7 | 2023-10-03T04:06:30 | Entry not found | 15 | [
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umitmertcakmak/mental_health_chatbot_dataset | 2023-10-03T11:34:32.000Z | [
"region:us"
] | umitmertcakmak | null | null | 0 | 7 | 2023-10-03T11:34:30 | ---
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configs:
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path: data/train-*
---
# Dataset Card for "mental_health_chatbot_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 453 | [
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hippocrates/medMCQA_test | 2023-10-12T16:37:02.000Z | [
"region:us"
] | hippocrates | null | null | 0 | 7 | 2023-10-03T12:29:51 | ---
configs:
- config_name: default
data_files:
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path: data/train-*
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path: data/valid-*
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path: data/test-*
dataset_info:
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---
# Dataset Card for "medMCQA_test"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 784 | [
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PericlesSavio/resumo | 2023-10-03T17:47:52.000Z | [
"task_categories:summarization",
"task_categories:text2text-generation",
"task_categories:text-generation",
"annotations_creators:expert-generated",
"language_creators:expert-generated",
"multilinguality:monolingual",
"size_categories:10K<n<100K",
"source_datasets:original",
"language:en",
"licens... | PericlesSavio | null | null | 0 | 7 | 2023-10-03T15:41:08 | ---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- en
license: cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- summarization
- text2text-generation
- text-generation
task_ids: []
pretty_name: DIALOGSum Corpus
tags:
- dialogue-summary
- one-liner-summary
- meeting-title
- email-subject
---
# Dataset Card for DIALOGSum Corpus
## Dataset Description
### Links
- **Homepage:** https://aclanthology.org/2021.findings-acl.449
- **Repository:** https://github.com/cylnlp/dialogsum
- **Paper:** https://aclanthology.org/2021.findings-acl.449
- **Point of Contact:** https://huggingface.co/knkarthick
### Dataset Summary
DialogSum is a large-scale dialogue summarization dataset, consisting of 13,460 (Plus 100 holdout data for topic generation) dialogues with corresponding manually labeled summaries and topics.
### Languages
English
## Dataset Structure
### Data Instances
DialogSum is a large-scale dialogue summarization dataset, consisting of 13,460 dialogues (+1000 tests) split into train, test and validation.
The first instance in the training set:
{'id': 'train_0', 'summary': "Mr. Smith's getting a check-up, and Doctor Hawkins advises him to have one every year. Hawkins'll give some information about their classes and medications to help Mr. Smith quit smoking.", 'dialogue': "#Person1#: Hi, Mr. Smith. I'm Doctor Hawkins. Why are you here today?\n#Person2#: I found it would be a good idea to get a check-up.\n#Person1#: Yes, well, you haven't had one for 5 years. You should have one every year.\n#Person2#: I know. I figure as long as there is nothing wrong, why go see the doctor?\n#Person1#: Well, the best way to avoid serious illnesses is to find out about them early. So try to come at least once a year for your own good.\n#Person2#: Ok.\n#Person1#: Let me see here. Your eyes and ears look fine. Take a deep breath, please. Do you smoke, Mr. Smith?\n#Person2#: Yes.\n#Person1#: Smoking is the leading cause of lung cancer and heart disease, you know. You really should quit.\n#Person2#: I've tried hundreds of times, but I just can't seem to kick the habit.\n#Person1#: Well, we have classes and some medications that might help. I'll give you more information before you leave.\n#Person2#: Ok, thanks doctor.", 'topic': "get a check-up}
### Data Fields
- dialogue: text of dialogue.
- summary: human written summary of the dialogue.
- topic: human written topic/one liner of the dialogue.
- id: unique file id of an example.
### Data Splits
- train: 12460
- val: 500
- test: 1500
- holdout: 100 [Only 3 features: id, dialogue, topic]
## Dataset Creation
### Curation Rationale
In paper:
We collect dialogue data for DialogSum from three public dialogue corpora, namely Dailydialog (Li et al., 2017), DREAM (Sun et al., 2019) and MuTual (Cui et al., 2019), as well as an English speaking practice website. These datasets contain face-to-face spoken dialogues that cover a wide range of daily-life topics, including schooling, work, medication, shopping, leisure, travel. Most conversations take place between friends, colleagues, and between service providers and customers.
Compared with previous datasets, dialogues from DialogSum have distinct characteristics:
Under rich real-life scenarios, including more diverse task-oriented scenarios;
Have clear communication patterns and intents, which is valuable to serve as summarization sources;
Have a reasonable length, which comforts the purpose of automatic summarization.
We ask annotators to summarize each dialogue based on the following criteria:
Convey the most salient information;
Be brief;
Preserve important named entities within the conversation;
Be written from an observer perspective;
Be written in formal language.
### Who are the source language producers?
linguists
### Who are the annotators?
language experts
## Licensing Information
CC BY-NC-SA 4.0
## Citation Information
```
@inproceedings{chen-etal-2021-dialogsum,
title = "{D}ialog{S}um: {A} Real-Life Scenario Dialogue Summarization Dataset",
author = "Chen, Yulong and
Liu, Yang and
Chen, Liang and
Zhang, Yue",
booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.findings-acl.449",
doi = "10.18653/v1/2021.findings-acl.449",
pages = "5062--5074",
```
## Contributions
Thanks to [@cylnlp](https://github.com/cylnlp) for adding this dataset. | 4,654 | [
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# Dataset Card for "ncbi_genbank_part_21"
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---
# Dataset Card for "ncbi_genbank_part_10"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 644 | [
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Intuit-GenSRF/tweets-hate-speech-detection-es | 2023-10-06T22:30:30.000Z | [
"region:us"
] | Intuit-GenSRF | null | null | 0 | 7 | 2023-10-06T22:30:28 | ---
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# Dataset Card for "tweets_hate_speech_detection-es"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 580 | [
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Hack90/ncbi_genbank_part_16 | 2023-10-07T00:50:32.000Z | [
"region:us"
] | Hack90 | null | null | 0 | 7 | 2023-10-07T00:47:31 | ---
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---
# Dataset Card for "ncbi_genbank_part_16"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 643 | [
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Hack90/ncbi_genbank_part_17 | 2023-10-07T01:37:04.000Z | [
"region:us"
] | Hack90 | null | null | 0 | 7 | 2023-10-07T01:34:16 | ---
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# Dataset Card for "ncbi_genbank_part_17"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 643 | [
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CWKSC/common_voice_11_0-hi-whisper-small | 2023-10-07T06:44:04.000Z | [
"region:us"
] | CWKSC | null | null | 1 | 7 | 2023-10-07T06:36:46 | ---
configs:
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---
# Dataset Card for "common_voice_11_0-hi-whisper-small"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 631 | [
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carnival13/massive_eng_DA3_tokenized | 2023-10-07T10:59:35.000Z | [
"region:us"
] | carnival13 | null | null | 0 | 7 | 2023-10-07T10:59:28 | ---
dataset_info:
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---
# Dataset Card for "massive_eng_DA3_tokenized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 547 | [
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infCapital/financial_phrasebank_en | 2023-10-07T15:52:46.000Z | [
"region:us"
] | infCapital | null | null | 0 | 7 | 2023-10-07T15:35:00 | ---
dataset_info:
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---
# Dataset Card for "financial_phrasebank_en"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 452 | [
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MikuHH/testSet | 2023-10-13T02:17:58.000Z | [
"region:us"
] | MikuHH | null | null | 0 | 7 | 2023-10-07T17:59:53 | Entry not found | 15 | [
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Hack90/ncbi_genbank_part_11 | 2023-10-07T18:31:48.000Z | [
"region:us"
] | Hack90 | null | null | 0 | 7 | 2023-10-07T18:30:57 | ---
configs:
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---
# Dataset Card for "ncbi_genbank_part_11"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 640 | [
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Intuit-GenSRF/toxigen-train-es | 2023-10-08T03:50:40.000Z | [
"region:us"
] | Intuit-GenSRF | null | null | 0 | 7 | 2023-10-08T03:50:35 | ---
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---
# Dataset Card for "toxigen-train-es"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 609 | [
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hk-kaden-kim/uzh-hs23-etsp-eval-single-noaxislabel-bar | 2023-10-08T10:53:31.000Z | [
"region:us"
] | hk-kaden-kim | null | null | 0 | 7 | 2023-10-08T10:46:02 | ---
dataset_info:
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# Dataset Card for "uzh-hs23-etsp-eval-single-noaxislabel-bar"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 421 | [
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hk-kaden-kim/uzh-hs23-etsp-eval-multi-base-line | 2023-10-08T10:59:35.000Z | [
"region:us"
] | hk-kaden-kim | null | null | 0 | 7 | 2023-10-08T10:47:10 | ---
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# Dataset Card for "uzh-hs23-etsp-eval-multi-base-line"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 414 | [
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salsarra/AQAD_SPLIT_W | 2023-10-09T04:42:36.000Z | [
"region:us"
] | salsarra | null | null | 0 | 7 | 2023-10-08T16:48:57 | Entry not found | 15 | [
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Ayansk11/llama2_legal | 2023-10-08T17:52:41.000Z | [
"region:us"
] | Ayansk11 | null | null | 1 | 7 | 2023-10-08T17:51:33 | Entry not found | 15 | [
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carnival13/end_sur_DA_tokenized | 2023-10-09T03:55:21.000Z | [
"region:us"
] | carnival13 | null | null | 0 | 7 | 2023-10-09T03:55:18 | ---
dataset_info:
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---
# Dataset Card for "end_sur_DA_tokenized"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 544 | [
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midojiang/frist-dataset | 2023-10-10T03:14:27.000Z | [
"region:us"
] | midojiang | null | null | 0 | 7 | 2023-10-09T07:51:36 | ---
dataset_info:
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---
# Dataset Card for "input-dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 512 | [
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mrabhi0505/instruction_output_dataset3 | 2023-10-09T08:34:54.000Z | [
"region:us"
] | mrabhi0505 | null | null | 0 | 7 | 2023-10-09T08:33:53 | Entry not found | 15 | [
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renumics/spotlight-matthijs-snacks-enrichment | 2023-10-13T09:28:10.000Z | [
"region:us"
] | renumics | null | null | 0 | 7 | 2023-10-09T13:39:07 | ---
configs:
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# Dataset Card for "spotlight-matthijs-snacks-enrichment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 695 | [
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ContextualAI/tiny-winogrande_xl | 2023-10-09T19:41:43.000Z | [
"region:us"
] | ContextualAI | null | null | 0 | 7 | 2023-10-09T19:41:40 | ---
dataset_info:
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---
# Dataset Card for "tiny-winogrande_xl"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 517 | [
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ilyas3141/ilias_test20 | 2023-10-10T08:41:24.000Z | [
"region:us"
] | ilyas3141 | null | null | 0 | 7 | 2023-10-10T08:16:18 | Entry not found | 15 | [
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tyzhu/synpre_mix_v2_1M | 2023-10-10T08:33:35.000Z | [
"region:us"
] | tyzhu | null | null | 0 | 7 | 2023-10-10T08:30:03 | ---
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# Dataset Card for "synpre_mix_v2_1M"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 497 | [
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ligi2009/generate | 2023-10-11T05:34:01.000Z | [
"region:us"
] | ligi2009 | null | null | 0 | 7 | 2023-10-10T18:06:24 | Entry not found | 15 | [
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cannlytics/cannabis_analytes | 2023-10-10T23:20:30.000Z | [
"license:cc-by-4.0",
"region:us"
] | cannlytics | This dataset consists of analyte data for various analytes that are regularly tested for in cannabis. The dataset consists of sub-datasets for each type of test, as well as a sub-dataset that includes all analytes. | @inproceedings{cannlytics2023cannabis_analytes,
author = {Skeate, Keegan and O'Sullivan-Sutherland, Candace},
title = {Cannabis Analytes},
booktitle = {Cannabis Data Science},
month = {October},
year = {2023},
address = {United States of America},
publisher = {Cannlytics}
} | 1 | 7 | 2023-10-10T21:24:44 | ---
pretty_name: cannabis_analytes
license:
- cc-by-4.0
---
# Cannabis Analytes
This dataset consists of analyte data for various analytes that are regularly tested for in cannabis. The dataset consists of sub-datasets for each type of test, as well as a sub-dataset that includes all analytes.
## Dataset Structure
The dataset is partitioned into 18 subsets for each state and the aggregate.
| State | Code | Status |
| [All](https://huggingface.co/datasets/cannlytics/cannabis_licenses/tree/main/data/analytes.json) | `all` | ✅ |
| [Cannabinoids](https://huggingface.co/datasets/cannlytics/cannabis_licenses/tree/main/data/cannabinoids.json) | `cannabinoids` | ✅ |
| [Terpenes](https://huggingface.co/datasets/cannlytics/cannabis_licenses/tree/main/data/terpenes.json) | `terpenes` | ✅ |
| Pesticides | `pesticides` | ⏳ Coming soon |
| Microbes | `microbes` | ⏳ Coming soon |
| Heavy metals | `heavy_metals` | ⏳ Coming soon |
| Residual solvents | `residual_solvents` | ⏳ Coming soon |
| Other | `other` | ⏳ Coming soon |
## Using the Dataset
You can load all the analytes, or the analytes for a specific test. For example:
```py
from datasets import load_dataset
# Get all of the analytes
dataset = load_dataset('cannlytics/cannabis_licenses', 'all')
analytes = dataset['data']
# Get the cannabinoids.
dataset = load_dataset('cannlytics/cannabis_licenses', 'cannabinoids')
terpenes = dataset['data']
# Get the terpenes.
dataset = load_dataset('cannlytics/cannabis_licenses', 'terpenes')
terpenes = dataset['data']
```
## Data Fields
Below is a non-exhaustive list of fields, used to standardize the various data that are encountered, that you may expect to find for each observation.
## Data Fields
Below is a non-exhaustive list of fields used to standardize the various data that are encountered. You may expect to find the following for each observation:
| Field | Example | Description |
|------------------------------|----------------------------------------------|------------------------------------------------------------------------------------------------------|
| `key` | `"thca"` | A unique ID for each analyte. |
| `description` | `"Δ-9-Tetrahydrocannabinol is a cannabinoid..."` | A brief description or summary about the analyte. |
| `name` | `"THC"` | Common name of the analyte. |
| `scientific_name` | `"\u0394-9-Tetrahydrocannabinol"` | The scientific name or IUPAC name of the analyte. |
| `type` | `"cannabinoid"` | The type or classification of the analyte (e.g., terpene, cannabinoid). |
| `wikipedia_url` | `"https://en.wikipedia.org/wiki/Tetrahydrocannabinol"` | The Wikipedia URL where more detailed information can be found about the analyte. |
| `degrades_to` | `["cannabinol"]` | A list of chemicals or substances the analyte degrades to. |
| `precursors` | `["thca"]` | A list of precursor chemicals or substances related to the analyte. |
| `subtype` | `"psychoactive"` | A sub-classification or additional details about the type of the analyte. |
| `cas_number` | `"1972-08-3"` | The Chemical Abstracts Service (CAS) registry number, which is a unique identifier for chemical substances.|
| `chemical_formula` | `"C21H30O2"` | The chemical formula of the analyte. |
| `molar_mass` | `"314.5 g/mol"` | The molar mass of the analyte. |
| `density` | `"1.0±0.1 g/cm3"` | The density of the analyte. |
| `boiling_point` | `"383.5±42.0 °C"` | The boiling point of the analyte. |
| `image_url` | `"https://example.com/image.jpg"` | URL of an image representing the analyte. |
| `chemical_formula_image_url` | `"https://example.com/formula_image.jpg"` | URL of an image representing the chemical formula of the analyte. |
## Data Splits
The data is split into subsets by analysis. You can retrieve all analytes by requesting the `all` subset.
```py
from datasets import load_dataset
# Get all cannabis licenses.
dataset = load_dataset('cannlytics/cannabis_licenses', 'all')
data = dataset['data']
```
## Curation Rationale
This dataset provides a standard set of analyte data for [cannabis tests](https://huggingface.co/datasets/cannlytics/cannabis_tests).
## Data Collection and Normalization
The `get_cannabis_analytes.py` routine is used to normalize values collected from Wikipedia.
## Known Limitations
The datasets are not complete and may include inaccurate information.
## Dataset Curators
Curated by [🔥Cannlytics](https://cannlytics.com)<br>
<contact@cannlytics.com>
## License
```
Copyright (c) 2023 Cannlytics
The files associated with this dataset are licensed under a
Creative Commons Attribution 4.0 International license.
You can share, copy and modify this dataset so long as you give
appropriate credit, provide a link to the CC BY license, and
indicate if changes were made, but you may not do so in a way
that suggests the rights holder has endorsed you or your use of
the dataset. Note that further permission may be required for
any content within the dataset that is identified as belonging
to a third party.
```
## Contributions
Thanks to [🔥Cannlytics](https://cannlytics.com), [@candy-o](https://github.com/candy-o), [@keeganskeate](https://github.com/keeganskeate), and the entire [Cannabis Data Science Team](https://meetup.com/cannabis-data-science/members) for their contributions.
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vile99/vi_quad | 2023-10-11T04:41:01.000Z | [
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AlignmentLab-AI/EverythingIsAllYouNeed-v0.24 | 2023-10-18T05:53:33.000Z | [
"region:us"
] | AlignmentLab-AI | null | null | 0 | 7 | 2023-10-11T04:20:52 | Entry not found | 15 | [
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renumics/spotlight-laion-dalle-3-dataset-enrichment | 2023-10-11T13:28:45.000Z | [
"region:us"
] | renumics | null | null | 0 | 7 | 2023-10-11T09:01:07 | ---
configs:
- config_name: default
data_files:
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path: data/train-*
dataset_info:
features:
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---
# Dataset Card for "spotlight-laion-dalle-3-dataset-enrichment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 689 | [
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renumics/spotlight-nelorth-oxford-flowers-enrichment | 2023-10-13T09:45:33.000Z | [
"region:us"
] | renumics | null | null | 0 | 7 | 2023-10-11T09:05:05 | ---
configs:
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---
# Dataset Card for "spotlight-nelorth-oxford-flowers-enrichment"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 590 | [
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tinhpx2911/vi_dataset_processed | 2023-10-11T10:20:23.000Z | [
"region:us"
] | tinhpx2911 | null | null | 0 | 7 | 2023-10-11T10:19:44 | ---
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path: data/train-*
---
# Dataset Card for "vi_dataset_processed"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 519 | [
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orkidea/wayuu_CO_test | 2023-10-12T20:34:51.000Z | [
"task_categories:automatic-speech-recognition",
"size_categories:n<1K",
"language:guc",
"license:other",
"region:us"
] | orkidea | null | null | 0 | 7 | 2023-10-11T16:13:55 | ---
language:
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license: other
size_categories:
- n<1K
task_categories:
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pretty_name: Wayuu language dataset
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configs:
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data_files:
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path: data/train-*
---
## Dataset Audio Duration
The dataset consists of 810 audio recordings, each accompanied by its respective transcription. The lexical corpus encompasses approximately 1,000 unique words.
- **Total Audio Duration**: 2801 seconds (approximately 34 minutes)
- **Average Audio Duration**: 3.41 seconds
The dataset offers valuable insights into the Wayuunaiki language's phonetic and linguistic characteristics. It's important to note that the dataset originates from recordings and transcriptions of the Bible in Wayuunaiki. Due to proprietary restrictions, the dataset cannot be shared publicly. The use of this data is protected under the principles of 'fair use' copyright. | 1,141 | [
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sidthip/testquizv2 | 2023-10-11T16:55:50.000Z | [
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Jagadeesh-ti/sql_100 | 2023-10-12T04:36:12.000Z | [
"region:us"
] | Jagadeesh-ti | null | null | 0 | 7 | 2023-10-12T04:35:49 | Entry not found | 15 | [
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mayur456/final_cour_unsup | 2023-10-12T13:17:08.000Z | [
"region:us"
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1a3orn/gsm8k-instruct | 2023-10-12T13:54:48.000Z | [
"region:us"
] | 1a3orn | null | null | 0 | 7 | 2023-10-12T13:54:45 | ---
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---
# Dataset Card for "gsm8k-test-3.5-bigger-oasst"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 639 | [
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carnival13/xlmr_int_hard_curr_trn_ep3_corr | 2023-10-12T17:06:17.000Z | [
"region:us"
] | carnival13 | null | null | 0 | 7 | 2023-10-12T17:05:58 | ---
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---
# Dataset Card for "xlmr_int_hard_curr_trn_ep3_corr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 630 | [
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MananSantoki/Vadodara-Info-JSON | 2023-10-18T12:53:07.000Z | [
"region:us"
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tyzhu/synpre_sort_1M | 2023-10-13T07:21:17.000Z | [
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] | tyzhu | null | null | 0 | 7 | 2023-10-13T07:18:46 | ---
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---
# Dataset Card for "synpre_sort_1M"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 474 | [
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mayur456/court_RAG_unsup | 2023-10-13T11:10:56.000Z | [
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carnival13/rbrt_lrg_trn | 2023-10-14T07:28:37.000Z | [
"region:us"
] | carnival13 | null | null | 0 | 7 | 2023-10-14T07:28:19 | ---
dataset_info:
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dataset_size: 418128930
configs:
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path: data/train-*
---
# Dataset Card for "rbrt_lrg_trn"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 611 | [
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konfuzio/funsd_plus | 2023-10-16T09:33:20.000Z | [
"size_categories:1K<n<10K",
"language:en",
"license:other",
"funsd",
"region:us"
] | konfuzio | null | null | 1 | 7 | 2023-10-14T12:31:04 | ---
configs:
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path: data/train-*
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path: data/test-*
dataset_info:
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extra_gated_prompt: >-
You agree to not attempt to determine the identity of individuals in this
dataset.
You agree to the terms and conditions of the [FUNSD+ license](https://huggingface.co/datasets/konfuzio/funsd_plus/blob/main/LICENSE).
extra_gated_fields:
Name: text
Company: text
Country: text
Email: text
I agree to the terms and conditions of the FUNSD+ license: checkbox
license: other
language:
- en
pretty_name: FUNSD+
size_categories:
- 1K<n<10K
tags:
- funsd
---
# Dataset Card for "funsd_plus"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Homepage](#homepage)
- [Point of Contact](#point-of-contact)
- [Languages](#languages)
- [Additional Information](#additional-information)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
## Dataset Description
- **Homepage:** [FUNSD+ | A larger and revised FUNSD dataset by Konfuzio](https://konfuzio.com/en/funsd-plus/)
- **Point of Contact:** [mohamed.dhiab@konfuzio.com](mailto:mohamed.dhiab@konfuzio.com)
- **Languages:** `English`
## Additional Information
### Licensing Information
[FUNSD+ license](https://huggingface.co/datasets/konfuzio/funsd_plus/blob/main/LICENSE)
### Citation Information
```
@misc{zagami_helm_2022,
title = {FUNSD+: A larger and revised FUNSD dataset},
author = {Zagami, Davide and Helm, Christopher},
year = 2022,
month = {Oct},
journal = {FUNSD+ | A larger and revised FUNSD dataset},
publisher = {Helm & Nagel GmbH},
url = {http://konfuzio.com/funsd-plus/}
}
``` | 2,188 | [
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judy93536/peri_article_highlights_id_17k | 2023-10-14T12:36:24.000Z | [
"region:us"
] | judy93536 | null | null | 0 | 7 | 2023-10-14T12:35:31 | ---
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dataset_size: 38402640
---
# Dataset Card for "peri_article_highlights_id_17k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 634 | [
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rehanbrr/toolkit_dataset | 2023-10-15T08:03:08.000Z | [
"region:us"
] | rehanbrr | null | null | 0 | 7 | 2023-10-15T08:03:03 | ---
dataset_info:
features:
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configs:
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data_files:
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path: data/train-*
---
# Dataset Card for "toolkit_dataset"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 572 | [
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olaaaiap/all-datasets-tfg | 2023-10-15T09:07:39.000Z | [
"region:us"
] | olaaaiap | null | null | 0 | 7 | 2023-10-15T08:32:07 | Entry not found | 15 | [
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atom92/medical_healthwa_2.0 | 2023-10-15T12:41:21.000Z | [
"region:us"
] | atom92 | null | null | 0 | 7 | 2023-10-15T12:41:19 | ---
dataset_info:
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---
# Dataset Card for "medical_healthwa_2.0"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 361 | [
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minecode/Korean_study_dataset | 2023-10-18T06:10:32.000Z | [
"region:us"
] | minecode | null | null | 0 | 7 | 2023-10-16T03:47:38 | Entry not found | 15 | [
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Kailash3113/DataFrame | 2023-10-16T04:16:28.000Z | [
"region:us"
] | Kailash3113 | null | null | 0 | 7 | 2023-10-16T04:15:09 | Entry not found | 15 | [
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joheras/spanish-suicide-intent-information | 2023-10-16T13:47:11.000Z | [
"task_categories:text-classification",
"language:es",
"license:cc",
"region:us"
] | joheras | null | null | 0 | 7 | 2023-10-16T13:36:22 | ---
configs:
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data_files:
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path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
dataset_info:
features:
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dtype: string
- name: Label
dtype: int64
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dtype: int64
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num_examples: 2983
download_size: 1694607
dataset_size: 2824635
license: cc
task_categories:
- text-classification
language:
- es
---
## Dataset Summary
The dataset consists of comments from several sources translated to Spanish language and classified as suicidal ideation/behavior and suicide questions.
# Dataset Structure
The dataset has 14912 rows (7456 considered as Suicidal Ideation/Behavior and 7456 considered as questions about suicide).
## Dataset fields
* `Text`: User comment.
* `Label`: 1 if suicidal ideation/behavior; 0 if question about suicide.
* `Dataset`: Source of the comment
# Dataset Creation
* 7456 Suicidal Ideation/Behavior from the [suicide dataset](https://huggingface.co/datasets/joheras/spanish-suicide-intent).
* 7456 questions about suicide automatically generated from suicide documents.
# Considerations for Using the Data
## Social Impact of Dataset
The dataset could contain some patterns to detect suicidal ideation/behavior.
## Discussion of Biases
No measures have been taken to estimate the bias and toxicity embedded in the dataset. However, the most of the data is collected on Reddit, Twitter, and ChatGPT. So there is probably an age bias because [the Internet is used more by younger people](https://www.statista.com/statistics/272365/age-distribution-of-internet-users-worldwide).
# Additional Information
## Team
* [joheras](https://huggingface.co/joheras) | 1,899 | [
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sshreyy/resteraunt_receipt | 2023-10-17T06:18:42.000Z | [
"region:us"
] | sshreyy | null | null | 0 | 7 | 2023-10-17T06:17:12 | ---
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---
# Dataset Card for "resteraunt_receipt"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 533 | [
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ThangDinh/biomedqa_eval | 2023-10-17T14:32:31.000Z | [
"region:us"
] | ThangDinh | null | null | 0 | 7 | 2023-10-17T13:47:46 | ---
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data_files:
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path: data/test-*
---
# Dataset Card for "biomedqa_eval"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 604 | [
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chirunder/MixSnips_for_DecoderOnly_90-10_split | 2023-10-18T06:10:26.000Z | [
"region:us"
] | chirunder | null | null | 0 | 7 | 2023-10-17T15:01:21 | ---
configs:
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data_files:
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path: data/train-*
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---
# Dataset Card for "MixSnips_for_DecoderOnly_90-10_split"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 664 | [
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chirunder/MixAtis_for_DecoderOnly_90-10_split-HALF | 2023-10-18T06:10:29.000Z | [
"region:us"
] | chirunder | null | null | 0 | 7 | 2023-10-17T15:51:38 | ---
configs:
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---
# Dataset Card for "MixAtis_for_DecoderOnly_90-10_split-HALF"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 662 | [
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nuvocare/WikiMedical_sentence_similarity | 2023-10-18T13:19:55.000Z | [
"region:us"
] | nuvocare | null | null | 0 | 7 | 2023-10-18T13:05:08 | ---
configs:
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---
# Dataset Card for "WikiMedical_sentence_similarity"
WikiMedical_sentence_similarity is an adapted and ready-to-use sentence similarity dataset based on [this dataset](https://huggingface.co/datasets/gamino/wiki_medical_terms).
The preprocessing followed three steps:
- Each text is splitted into sentences of 256 tokens (nltk tokenizer)
- Each sentence is paired with a positive pair if found, and a negative one. Negative one are drawn randomly in the whole dataset.
- Train and test split correspond to 70%/30%
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 1,185 | [
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lorahub/flanv2 | 2023-10-19T04:02:57.000Z | [
"region:us"
] | lorahub | null | null | 0 | 7 | 2023-10-19T03:20:22 | Entry not found | 15 | [
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SM200203102097/eyeDiseasesDetectionModel | 2023-10-19T18:36:54.000Z | [
"region:us"
] | SM200203102097 | null | null | 0 | 7 | 2023-10-19T10:30:53 | ---
configs:
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path: data/train-*
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---
# Dataset Card for "eyeDiseasesDetectionModel"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 704 | [
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tyzhu/find_first_sent_train_100_eval_20 | 2023-10-19T12:58:08.000Z | [
"region:us"
] | tyzhu | null | null | 0 | 7 | 2023-10-19T12:58:02 | ---
dataset_info:
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---
# Dataset Card for "find_first_sent_train_100_eval_20"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 542 | [
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hearmeneigh/e621-rising-v3-finetuner | 2023-10-22T21:36:54.000Z | [
"anthro",
"furry",
"e621",
"nsfw",
"not-for-all-audiences",
"region:us"
] | hearmeneigh | null | null | 0 | 7 | 2023-10-20T03:46:13 | ---
dataset_info:
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configs:
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data_files:
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path: data/train-*
tags:
- anthro
- furry
- e621
- nsfw
- not-for-all-audiences
---
<div style='background: #ffeef1; border: 1px solid #fd91a4; padding:1em; border-radius:3px; margin-bottom:2em;'>
<h3 style='margin:0'>NSFW</h3>
<p style='margin:0'>This dataset is not suitable for use by minors. The dataset contains X-rated/NFSW content.</p>
</div>
<div style='background: #eefff1; border: 1px solid #a4fd91; padding:1em; border-radius:3px; margin-bottom:2em;'>
<h3 style='margin:0'>For Finetuning Only</h3>
<p style='margin:0'>Unless you are running a finetuning run, you should use the <a href="https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-curated">curated V3 dataset</a>.</p>
</div>
| 1,183 | [
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mariogiordano/bert_english | 2023-10-31T15:47:27.000Z | [
"region:us"
] | mariogiordano | null | null | 0 | 7 | 2023-10-20T16:39:49 | Entry not found | 15 | [
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adityarra07/train_GPT_3000 | 2023-10-22T13:35:11.000Z | [
"region:us"
] | adityarra07 | null | null | 0 | 7 | 2023-10-21T12:13:34 | ---
dataset_info:
features:
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dtype:
audio:
sampling_rate: 16000
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num_examples: 3000
- name: test
num_bytes: 26655739.452758636
num_examples: 200
download_size: 421884021
dataset_size: 426491831.2441381
---
# Dataset Card for "train_GPT_3000"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 558 | [
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vietlegalqa/tvpl_summary_1k_ViSummary_231021 | 2023-10-21T15:14:45.000Z | [
"region:us"
] | vietlegalqa | null | null | 0 | 7 | 2023-10-21T15:14:44 | ---
dataset_info:
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configs:
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path: data/train-*
---
# Dataset Card for "tvpl_summary_1k_ViSummary_231021"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 572 | [
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dsatya6/cstestdata | 2023-10-27T23:43:56.000Z | [
"region:us"
] | dsatya6 | null | null | 0 | 7 | 2023-10-21T16:16:10 | CS Test Data | 12 | [
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umuthopeyildirim/svgen-500k | 2023-10-22T05:50:00.000Z | [
"task_categories:text-generation",
"size_categories:100K<n<1M",
"language:en",
"license:cc",
"SVG",
"vector",
"region:us"
] | umuthopeyildirim | null | null | 1 | 7 | 2023-10-22T05:47:23 | ---
license: cc
task_categories:
- text-generation
language:
- en
tags:
- SVG
- vector
pretty_name: SVGen Dataset
size_categories:
- 100K<n<1M
---
# SVGen Vector Images Dataset
## Overview
SVGen is a comprehensive dataset containing 300,000 SVG vector codes from a diverse set of sources including SVG-Repo, Noto Emoji, and InstructSVG. The dataset aims to provide a wide range of SVG files suitable for various applications including web development, design, and machine learning research.
## Data Fields
- **input**: The name or label of the SVG item
- **output**: SVG code containing the vector representation
- **description**: Brief description of the SVG item
- **source**: The original source or collection of the SVG
- **license**: Licensing terms for using the SVG
## Data Sources
- [SVG-Repo](https://www.svgrepo.com/)
- [Noto Emoji](https://huggingface.co/datasets/darknoon/noto-emoji-vector-512-svg)
- [InstructSVG](https://huggingface.co/datasets/uwunion/instruct_svg)
## Usage
The dataset is particularly useful for tasks such as icon classification, style transfer, image-to-vector translation, and much more. It serves as a rich resource for machine learning models that require high-quality SVG data.
## Help Wanted
I wanted to use BILP to generate `description`'s for each SVG, but It's not working well. If you have any ideas, please let me know. Here is the [Github](https://github.com/umuthopeyildirim/SVGenDataset) and it also contains Colab notebook links.
## License
The dataset incorporates SVG files with varying licenses. Users are advised to consult the `license` field of each record for specific usage rights.
## Contribution Guidelines
Contributions are welcome! If you find any issues or would like to add more SVGs to the dataset, please submit a pull request or open an issue in the repository.
## Acknowledgements
A huge thanks to SVGRepo, Noto Emoji, and InstructSVG for providing the SVG files that make up this dataset.
For more details and to download the dataset, visit the project repository.
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p1atdev/kogo-bonjin-translation | 2023-10-22T13:35:49.000Z | [
"region:us"
] | p1atdev | null | null | 0 | 7 | 2023-10-22T13:35:45 | ---
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configs:
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data_files:
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path: data/train-*
---
# Dataset Card for "kogo-bonjin-translation"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 595 | [
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AdapterOcean/physics_dataset_standardized_cluster_2 | 2023-10-23T01:52:25.000Z | [
"region:us"
] | AdapterOcean | null | null | 0 | 7 | 2023-10-22T18:31:05 | ---
dataset_info:
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num_examples: 5572
download_size: 0
dataset_size: 62429845
configs:
- config_name: default
data_files:
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path: data/train-*
---
# Dataset Card for "physics_dataset_standardized_cluster_2"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 582 | [
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AdapterOcean/physics_dataset_standardized_cluster_3 | 2023-10-23T01:52:46.000Z | [
"region:us"
] | AdapterOcean | null | null | 0 | 7 | 2023-10-22T18:31:24 | ---
dataset_info:
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dataset_size: 50360658
configs:
- config_name: default
data_files:
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path: data/train-*
---
# Dataset Card for "physics_dataset_standardized_cluster_3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 582 | [
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AdapterOcean/physics_dataset_standardized_cluster_4 | 2023-10-23T01:53:07.000Z | [
"region:us"
] | AdapterOcean | null | null | 0 | 7 | 2023-10-22T18:31:41 | ---
dataset_info:
features:
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download_size: 0
dataset_size: 35449571
configs:
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data_files:
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path: data/train-*
---
# Dataset Card for "physics_dataset_standardized_cluster_4"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | 582 | [
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marasaki/github-issues | 2023-10-23T02:43:28.000Z | [
"task_categories:text-classification",
"task_categories:token-classification",
"size_categories:1K<n<10K",
"language:en",
"license:unknown",
"region:us"
] | marasaki | null | null | 0 | 7 | 2023-10-23T02:34:12 | ---
dataset_info:
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struct:
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configs:
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data_files:
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path: data/train-*
license: unknown
task_categories:
- text-classification
- token-classification
language:
- en
pretty_name: GitHub Issues Small
size_categories:
- 1K<n<10K
---
# Dataset Card for "github-issues"
[Hugging Face NLP Course 5章5節]https://huggingface.co/learn/nlp-course/chapter5/5?fw=pt)で作ったGitHubのイシューをスクレイピングしたデータセットです。
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