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lapp0/50M_chess_boards | lapp0 | "2024-09-25T16:46:07Z" | 34 | 0 | [
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"format:parquet",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-25T16:44:11Z" | ---
dataset_info:
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configs:
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data_files:
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path: data/train-*
---
|
praneeth232/test-report | praneeth232 | "2024-09-25T16:52:43Z" | 34 | 0 | [
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"region:us"
] | null | "2024-09-25T16:45:40Z" | ---
dataset_info:
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---
|
danjacobellis/LSDIR_demucs_10xRR | danjacobellis | "2024-09-25T16:52:22Z" | 34 | 0 | [
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] | null | "2024-09-25T16:52:21Z" | ---
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|
RyanYr/math_problems_diverse_completion_labeled | RyanYr | "2024-09-25T17:53:38Z" | 34 | 0 | [
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---
|
PurCL/secalign-cwe502-java-pair-cluster-1k | PurCL | "2024-09-25T18:02:22Z" | 34 | 0 | [
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"region:us"
] | null | "2024-09-25T18:02:21Z" | ---
dataset_info:
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---
|
soheilshahi1/pvoice-mini | soheilshahi1 | "2024-09-25T18:08:45Z" | 34 | 0 | [
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"format:parquet",
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"library:datasets",
"library:pandas",
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"library:polars",
"region:us"
] | null | "2024-09-25T18:08:42Z" | ---
dataset_info:
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dtype: string
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configs:
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data_files:
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path: data/train-*
---
# Dataset Card for "pvoice-mini"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
Elfsong/Venus_PCD | Elfsong | "2024-09-26T10:33:30Z" | 34 | 0 | [
"size_categories:100K<n<1M",
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"region:us"
] | null | "2024-09-25T18:12:37Z" | ---
dataset_info:
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data_files:
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path: python3-runtime/train-*
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path: python3-runtime/test-*
---
|
EJUFlood/Fima-Nfip-Policies-dataset | EJUFlood | "2024-09-26T23:17:20Z" | 34 | 0 | [
"size_categories:10M<n<100M",
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"modality:tabular",
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"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-25T18:14:27Z" | ---
dataset_info:
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path: data/train-*
---
|
ai2-adapt-dev/numina_math_gsm8k_sampled_sft_gold | ai2-adapt-dev | "2024-09-25T18:16:00Z" | 34 | 0 | [
"size_categories:1K<n<10K",
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"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-25T18:14:42Z" | ---
dataset_info:
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dtype: string
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dataset_size: 16034650
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
danjacobellis/LSDIR_demucs_2x_walloc | danjacobellis | "2024-09-25T18:30:06Z" | 34 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:tabular",
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"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-25T18:30:05Z" | ---
dataset_info:
features:
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
- name: PSNR_bass
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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download_size: 15685
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configs:
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data_files:
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path: data/validation-*
---
|
danidarko/docs | danidarko | "2024-09-25T18:41:06Z" | 34 | 0 | [
"license:apache-2.0",
"size_categories:10K<n<100K",
"format:text",
"modality:text",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-09-25T18:37:27Z" | ---
license: apache-2.0
---
|
chenxy99/SGAN | chenxy99 | "2024-09-25T19:01:00Z" | 34 | 0 | [
"task_categories:text-generation",
"language:en",
"license:mit",
"size_categories:10M<n<100M",
"region:us",
"Problem solving"
] | [
"text-generation"
] | "2024-09-25T18:55:47Z" | ---
license: mit
task_categories:
- text-generation
language:
- en
tags:
- Problem solving
size_categories:
- 10M<n<100M
---
# Every Problem, Every Step, All in Focus: Learning to Solve Vision-Language Problems With Integrated Attention
A novel Solution Graph Attention Network (SGAN) approach that takes into account both intra-step and inter-step attention mechanisms, enabling a progressive construction of solutions by refining the dependencies between relevant problemsolving steps.
Citation
------------------
If you use our code or data, please cite our paper:
```text
@article{xianyu:2024:sgan,
Author = {Xianyu Chen and Jinhui Yang and Shi Chen and Louis Wang and Ming Jiang and Qi Zhao},
Title = {Every Problem, Every Step, All In Focus: Learning to Solve Vision-Language Problems with Integrated Attention},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)},
Year = {2024}
}
```
|
okinawa-ai-beach-robot/beachbot-trash | okinawa-ai-beach-robot | "2024-09-26T21:44:35Z" | 34 | 0 | [
"language:en",
"license:cc-by-nc-4.0",
"region:us"
] | null | "2024-09-25T19:13:13Z" | ---
language: en
license: cc-by-nc-4.0
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
for identifying beach trash.
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** Okinawa Institute of Science and Technology COI Next Grant
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** en
- **License:** cc-by-nc-4.0
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://github.com/okinawa-ai-beach-robot/beachbot-trash
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] |
BrianSuToronto/titanic-dataset | BrianSuToronto | "2024-09-25T19:25:21Z" | 34 | 0 | [
"license:apache-2.0",
"size_categories:n<1K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-25T19:16:12Z" | ---
license: apache-2.0
---
|
ossaili/alberto1727292248858 | ossaili | "2024-09-25T19:24:13Z" | 34 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-25T19:24:10Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: caption
dtype: string
splits:
- name: train
num_bytes: 18790878.0
num_examples: 121
download_size: 16908312
dataset_size: 18790878.0
---
# Dataset Card for "alberto1727292248858"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
BIT/titanic-dataset | BIT | "2024-09-25T19:28:05Z" | 34 | 0 | [
"license:apache-2.0",
"size_categories:n<1K",
"format:csv",
"modality:tabular",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-25T19:27:04Z" | ---
license: apache-2.0
---
|
ossaili/alberto_v1 | ossaili | "2024-09-25T19:31:18Z" | 34 | 0 | [
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] | null | "2024-09-25T19:31:14Z" | ---
dataset_info:
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dataset_size: 18790878.0
---
# Dataset Card for "alberto_v1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
lapp0/50M_chess_boards_2 | lapp0 | "2024-09-25T19:36:41Z" | 34 | 0 | [
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] | null | "2024-09-25T19:35:09Z" | ---
dataset_info:
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---
|
soheilshahi1/pvoice-mini-tags | soheilshahi1 | "2024-09-25T20:02:45Z" | 34 | 0 | [
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] | null | "2024-09-25T19:51:25Z" | ---
configs:
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dataset_size: 1685533
---
# Dataset Card for "pvoice-mini-tags"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
danjacobellis/LSDIR_demucs_10x_walloc | danjacobellis | "2024-09-25T20:04:23Z" | 34 | 0 | [
"size_categories:n<1K",
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] | null | "2024-09-25T20:04:22Z" | ---
dataset_info:
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---
|
ossaili/alberto_v2 | ossaili | "2024-09-25T20:04:54Z" | 34 | 0 | [
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] | null | "2024-09-25T20:04:42Z" | ---
dataset_info:
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---
|
uzair921/WNUT_17_LLM_RAG_25 | uzair921 | "2024-09-25T20:21:27Z" | 34 | 0 | [
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] | null | "2024-09-25T20:21:21Z" | ---
configs:
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dataset_info:
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sequence: string
- name: ner_tags
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names:
'0': O
'1': B-corporation
'2': I-corporation
'3': B-creative-work
'4': I-creative-work
'5': B-group
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---
# Dataset Card for "WNUT_17_LLM_RAG_25"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
soheilshahi1/robot-tts-tagged | soheilshahi1 | "2024-09-25T20:39:29Z" | 34 | 0 | [
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] | null | "2024-09-25T20:28:13Z" | ---
configs:
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dataset_size: 2134837
---
# Dataset Card for "robot-tts-tagged"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
danjacobellis/LSDIR_demucs_5x_walloc | danjacobellis | "2024-09-25T20:54:03Z" | 34 | 0 | [
"size_categories:n<1K",
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] | null | "2024-09-25T20:54:02Z" | ---
dataset_info:
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---
|
aethiop/oasst1_amharic_dataset_test | aethiop | "2024-09-25T20:59:19Z" | 34 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2024-09-25T20:59:19Z" | ---
license: apache-2.0
---
|
Augmentation-Scaling-Laws/general_llama3.1_70b_instruct_50000 | Augmentation-Scaling-Laws | "2024-09-25T21:00:06Z" | 34 | 0 | [
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] | null | "2024-09-25T21:00:03Z" | ---
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---
|
Augmentation-Scaling-Laws/math_llama3.1_8b_instruct_50000 | Augmentation-Scaling-Laws | "2024-09-25T21:00:15Z" | 34 | 0 | [
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|
Augmentation-Scaling-Laws/math_llama3.1_70b_instruct_50000 | Augmentation-Scaling-Laws | "2024-09-25T21:00:20Z" | 34 | 0 | [
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---
|
Doub7e/PixArt-Spatial-allseeds | Doub7e | "2024-09-25T21:04:24Z" | 34 | 0 | [
"size_categories:1K<n<10K",
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] | null | "2024-09-25T21:03:42Z" | ---
dataset_info:
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---
|
GreenVideo/mm15 | GreenVideo | "2024-09-25T21:39:11Z" | 34 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2024-09-25T21:37:30Z" | ---
license: apache-2.0
---
|
pdf2dataset/3ecf1d9cd3f6e185c4f063794ab0b20f | pdf2dataset | "2024-09-25T21:40:01Z" | 34 | 0 | [
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] | null | "2024-09-25T21:40:00Z" | ---
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---
|
lapp0/50M_chess_boards_3 | lapp0 | "2024-09-25T21:52:27Z" | 34 | 0 | [
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] | null | "2024-09-25T21:49:47Z" | ---
dataset_info:
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|
haorandai/Orange_Vehicle_Bicycle_lr0.01_e0.1_20_with20constraints | haorandai | "2024-09-25T21:52:04Z" | 34 | 0 | [
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] | null | "2024-09-25T21:52:03Z" | ---
dataset_info:
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---
|
haorandai/Orange_Vehicle_Bicycle_lr0.01_e0.1_10_with10constraints | haorandai | "2024-09-25T21:55:21Z" | 34 | 0 | [
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] | null | "2024-09-25T21:55:19Z" | ---
dataset_info:
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---
|
haorandai/Orange_Vehicle_Bicycle_lr0.01_e0.1_5_with5constraints | haorandai | "2024-09-25T21:56:00Z" | 34 | 0 | [
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] | null | "2024-09-25T21:55:58Z" | ---
dataset_info:
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---
|
1-800-SHARED-TASKS/code_instruct_alpaca | 1-800-SHARED-TASKS | "2024-09-25T21:56:09Z" | 34 | 0 | [
"task_categories:question-answering",
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"format:parquet",
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"library:mlcroissant",
"library:polars",
"region:us",
"code"
] | [
"question-answering",
"text2text-generation",
"text-generation"
] | "2024-09-25T21:56:06Z" | ---
dataset_info:
features:
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dtype: string
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dtype: string
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dtype: string
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path: data/train-*
task_categories:
- question-answering
- text2text-generation
- text-generation
tags:
- code
size_categories:
- 10K<n<100K
---
# Dataset Card for python_code_instructions_18k_alpaca
The dataset contains problem descriptions and code in python language.
This dataset is taken from [sahil2801/code_instructions_120k](https://huggingface.co/datasets/sahil2801/code_instructions_120k), which adds a prompt column in alpaca style. Refer to the source [here](https://huggingface.co/datasets/sahil2801/code_instructions_120k). |
haorandai/Orange_Vehicle_Bicycle_lr0.01_e0.1_3_with3constraints | haorandai | "2024-09-25T21:58:54Z" | 34 | 0 | [
"size_categories:n<1K",
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"library:pandas",
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] | null | "2024-09-25T21:58:53Z" | ---
dataset_info:
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---
|
haorandai/Orange_Vehicle_Bicycle_lr0.01_e0.1_1_with1constraints | haorandai | "2024-09-25T21:59:37Z" | 34 | 0 | [
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] | null | "2024-09-25T21:59:36Z" | ---
dataset_info:
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---
|
danjacobellis/LSDIR_demucs_5xRR | danjacobellis | "2024-09-25T22:05:39Z" | 34 | 0 | [
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] | null | "2024-09-25T22:05:39Z" | ---
dataset_info:
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---
|
amuvarma/6_layer_interleave-102345-0 | amuvarma | "2024-09-25T22:27:12Z" | 34 | 0 | [
"size_categories:1K<n<10K",
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"library:datasets",
"library:pandas",
"library:mlcroissant",
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] | null | "2024-09-25T22:06:59Z" | ---
dataset_info:
features:
- name: transcript
dtype: string
- name: facodec_0
sequence: int64
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haorandai/Orange_Fruit_Banana_lr0.01_e0.1_3_with3constraints | haorandai | "2024-09-26T02:31:35Z" | 34 | 0 | [
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haorandai/Orange_Fruit_Banana_lr0.01_e0.05_5_with5constraints | haorandai | "2024-09-26T02:37:29Z" | 34 | 0 | [
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haorandai/Orange_Fruit_Banana_lr0.01_e0.05_3_with3constraints | haorandai | "2024-09-26T02:37:53Z" | 34 | 0 | [
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haorandai/Orange_Fruit_Banana_lr0.01_e0.05_1_with1constraints | haorandai | "2024-09-26T02:38:33Z" | 34 | 0 | [
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Demotech/Demotech | Demotech | "2024-09-26T02:40:09Z" | 34 | 0 | [
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haorandai/Orange_Fruit_Banana_lr0.005_e0.1_5_with5constraints | haorandai | "2024-09-26T02:43:06Z" | 34 | 0 | [
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- name: text
dtype: string
splits:
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num_bytes: 76252.0
num_examples: 2
download_size: 77936
dataset_size: 76252.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
haorandai/Orange_Mammal_Mice_lr0.005_e0.1_10_with10constraints | haorandai | "2024-09-26T02:59:10Z" | 34 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T02:59:09Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 933558.0
num_examples: 20
download_size: 501824
dataset_size: 933558.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
haorandai/Orange_Mammal_Mice_lr0.005_e0.1_5_with5constraints | haorandai | "2024-09-26T03:00:15Z" | 34 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T03:00:13Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 430263.0
num_examples: 10
download_size: 238777
dataset_size: 430263.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
haorandai/Orange_Mammal_Mice_lr0.005_e0.1_3_with3constraints | haorandai | "2024-09-26T03:01:02Z" | 34 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T03:01:01Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 243543.0
num_examples: 6
download_size: 148259
dataset_size: 243543.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
MnLgt/fashion_people_detections_v2 | MnLgt | "2024-09-26T03:21:37Z" | 34 | 0 | [
"size_categories:10K<n<100K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T03:15:35Z" | ---
dataset_info:
features:
- name: id
dtype: float64
- name: brand
dtype: string
- name: image_id
dtype: string
- name: caption
dtype: string
- name: image_url
dtype: string
- name: width
dtype: string
- name: height
dtype: string
- name: image
dtype: image
- name: num_people
dtype: int64
- name: metadata
list:
- name: box
sequence: float64
- name: label
dtype: string
- name: label_id
dtype: int64
- name: polygons
sequence:
sequence: int64
- name: score
dtype: float64
splits:
- name: train
num_bytes: 9491735448.125
num_examples: 23279
download_size: 8833117738
dataset_size: 9491735448.125
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
itsskalebe/iajesus | itsskalebe | "2024-09-26T04:17:09Z" | 34 | 0 | [
"license:openrail",
"size_categories:n<1K",
"format:audiofolder",
"modality:audio",
"library:datasets",
"library:mlcroissant",
"region:us"
] | null | "2024-09-26T04:14:51Z" | ---
license: openrail
---
|
KennyNguyen02/TORGO_70_30 | KennyNguyen02 | "2024-09-26T05:22:37Z" | 34 | 0 | [
"license:unknown",
"region:us"
] | null | "2024-09-26T05:06:36Z" | ---
license: unknown
---
|
MilaWang/flare-fiqasa-20-shots | MilaWang | "2024-09-26T05:43:56Z" | 34 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T05:43:51Z" | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: query
dtype: string
- name: answer
dtype: string
- name: text
dtype: string
- name: choices
sequence: string
- name: gold
dtype: int64
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num_bytes: 760463
num_examples: 188
- name: test
num_bytes: 951167
num_examples: 235
download_size: 561221
dataset_size: 4748208
---
# Dataset Card for "flare-fiqasa-20-shots"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
MilaWang/flare-en-fpb-40-shots | MilaWang | "2024-09-26T07:32:20Z" | 34 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T05:45:57Z" | ---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: valid
path: data/valid-*
- split: test
path: data/test-*
dataset_info:
features:
- name: id
dtype: string
- name: query
dtype: string
- name: answer
dtype: string
- name: text
dtype: string
- name: choices
sequence: string
- name: gold
dtype: int64
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num_examples: 3100
- name: valid
num_bytes: 9220441
num_examples: 776
- name: test
num_bytes: 11524443
num_examples: 970
download_size: 0
dataset_size: 57577783
---
# Dataset Card for "flare-en-fpb-40-shots"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
lianghsun/tw-contract-review-chat | lianghsun | "2024-10-23T09:02:31Z" | 34 | 0 | [
"license:cc-by-nc-sa-4.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T05:50:16Z" | ---
license: cc-by-nc-sa-4.0
---
|
sajilperfects/llama_medical_dataset | sajilperfects | "2024-09-26T06:30:50Z" | 34 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T06:30:46Z" | ---
dataset_info:
features:
- name: text
list:
- name: content
dtype: string
- name: role
dtype: string
splits:
- name: train
num_bytes: 11059493
num_examples: 7321
download_size: 5842022
dataset_size: 11059493
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
gouravgujariya/plant_classification | gouravgujariya | "2024-09-26T06:32:04Z" | 34 | 0 | [
"task_categories:image-classification",
"language:en",
"license:apache-2.0",
"size_categories:n<1K",
"region:us",
"plant"
] | [
"image-classification"
] | "2024-09-26T06:30:56Z" | ---
license: apache-2.0
task_categories:
- image-classification
language:
- en
tags:
- plant
pretty_name: plant_classification
size_categories:
- n<1K
--- |
wj00037/aaa | wj00037 | "2024-09-26T06:34:59Z" | 34 | 0 | [
"language:aa",
"license:mit",
"region:us"
] | null | "2024-09-26T06:34:45Z" | ---
license: mit
language:
- aa
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
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).
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
### Dataset Sources [optional]
<!-- Provide the basic links for the dataset. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
### Direct Use
<!-- This section describes suitable use cases for the dataset. -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
[More Information Needed]
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
[More Information Needed]
## Dataset Creation
### Curation Rationale
<!-- Motivation for the creation of this dataset. -->
[More Information Needed]
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
[More Information Needed]
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[More Information Needed]
### Annotations [optional]
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
#### Annotation process
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
[More Information Needed]
#### Who are the annotators?
<!-- This section describes the people or systems who created the annotations. -->
[More Information Needed]
#### Personal and Sensitive Information
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation [optional]
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Dataset Card Authors [optional]
[More Information Needed]
## Dataset Card Contact
[More Information Needed] |
SamagraDataGov/azure_test | SamagraDataGov | "2024-09-26T06:59:58Z" | 34 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T06:59:55Z" | ---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 138
num_examples: 2
download_size: 1246
dataset_size: 138
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
voxreality/navigation_intructions_v2 | voxreality | "2024-09-26T07:29:19Z" | 34 | 0 | [
"task_categories:text-generation",
"language:en",
"license:apache-2.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | [
"text-generation"
] | "2024-09-26T07:26:34Z" | ---
license: apache-2.0
task_categories:
- text-generation
language:
- en
---
## Dataset Description
The Navigation Dataset is part of the European VOXReality project, aimed at fine-tuning models to generate precise navigation instructions for users. This dataset includes pairs of user inputs, knowledge bases, and corresponding generated outputs, focusing on providing detailed navigation instructions within a defined space.
## Dataset Structure
The dataset consists of three primary fields:
1. **input**: The user's input query, asking for directions to various locations.
2. **knowledge**: The knowledge base string length related to the input.
3. **output**: The generated navigation instructions, providing step-by-step guidance to reach the desired location.
### Example
Below is an example of a data entry in the dataset:
```python
Input: "Can you show me the way to the social space?"
Knowledge: "start, turn right, turn left, crossing yellow sphere left, crossing booth 2 right, arrive booth 1, turn right, crossing booth 1 left, arrive booth 4, finish"
Output: "To find the social space, follow these steps:\n- Start by turning right.\n- Turn left.\n- Cross the yellow sphere on your left.\n- Cross booth 2 on your right.\n- Continue until you arrive at booth 1.\n- Turn right.\n- Cross booth 1 on your left.\n\nYou should now be at booth 4."
``` |
arasaac/pictos-to-nl | arasaac | "2024-09-27T09:16:00Z" | 34 | 0 | [
"task_categories:question-answering",
"language:es",
"license:apache-2.0",
"size_categories:n<1K",
"format:json",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"region:us"
] | [
"question-answering"
] | "2024-09-26T07:29:43Z" | ---
license: apache-2.0
task_categories:
- question-answering
language:
- es
size_categories:
- n<1K
--- |
dddraxxx/visa-dataset | dddraxxx | "2024-09-26T07:54:29Z" | 34 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T07:36:48Z" | ---
dataset_info:
features:
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dtype: image
- name: mask
dtype: image
- name: image_id
dtype: string
- name: anomaly
dtype: bool
- name: vis_mask
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splits:
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num_examples: 100
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num_bytes: 26546032.0
num_examples: 100
download_size: 223068613
dataset_size: 225873374.0
configs:
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path: data/capsules-*
- split: chewinggum
path: data/chewinggum-*
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path: data/pipe_fryum-*
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path: data/pcb3-*
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path: data/macaroni2-*
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path: data/pcb4-*
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path: data/cashew-*
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path: data/fryum-*
- split: pcb1
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- split: candle
path: data/candle-*
- split: pcb2
path: data/pcb2-*
---
|
yhshin1020/coco-img-caption-pairs | yhshin1020 | "2024-09-26T07:46:34Z" | 34 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T07:38:35Z" | ---
dataset_info:
features:
- name: image
dtype: image
- name: caption
dtype: string
splits:
- name: train
num_bytes: 1008890324.0
num_examples: 5120
download_size: 133367747
dataset_size: 1008890324.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
madroid/fc-5.8k | madroid | "2024-09-27T10:22:21Z" | 34 | 0 | [
"size_categories:1K<n<10K",
"format:parquet",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
"library:polars",
"region:us"
] | null | "2024-09-26T07:43:19Z" | ---
dataset_info:
features:
- name: messages
list:
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dtype: string
- name: content
dtype: string
- name: tool_calls
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configs:
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data_files:
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path: data/train-*
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path: data/valid-*
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path: data/test-*
---
|
mp-02/cord-sroie2 | mp-02 | "2024-09-26T07:44:52Z" | 34 | 0 | [
"size_categories:n<1K",
"format:parquet",
"modality:image",
"modality:text",
"library:datasets",
"library:pandas",
"library:mlcroissant",
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] | null | "2024-09-26T07:44:08Z" | ---
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bitmind/ffhq-256___stable-diffusion-xl-base-1.0_training_untransformed_faces | bitmind | "2024-09-26T07:54:40Z" | 34 | 0 | [
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dataset_info:
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|
nadeeshafdo/SeismicDataWorldwide | nadeeshafdo | "2024-09-26T19:46:09Z" | 34 | 0 | [
"language:en",
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"library:datasets",
"library:dask",
"library:mlcroissant",
"library:polars",
"region:us",
"climate"
] | null | "2024-09-26T08:03:12Z" | ---
license: mit
language:
- en
tags:
- climate
---
# SeismicDataWorldwide
SeismicDataWorldwide is an open-source repository that provides a comprehensive collection of global earthquake data. The data, sourced from the USGS Earthquake Catalog, includes details of earthquakes with a magnitude of 2.5 and above, spanning from 2000 to 2024.
## Data Description
The dataset contains the following fields:
- `time`: The timestamp of the earthquake.
- `latitude`, `longitude`: The geographical coordinates of the earthquake's epicenter.
- `depth`: The depth of the earthquake in kilometers.
- `mag`: The magnitude of the earthquake.
- `magType`: The method or algorithm used to calculate the preferred magnitude of the earthquake.
- `nst`: The number of seismic stations that reported P- and S-arrival times for this earthquake.
- `gap`: The largest azimuthal gap between azimuthally adjacent stations (in degrees).
- `dmin`: The minimum distance to the source of the earthquake.
- `rms`: The root-mean-square (RMS) travel time residual, in sec, using all weights.
- `net`: The ID of a data contributor.
- `id`: A unique identifier for the earthquake.
- `updated`: Time when the event was most recently updated.
- `place`: Description of the location of the earthquake.
- `type`: Type of seismic event.
- `horizontalError`, `depthError`, `magError`, `magNst`: Error measurements.
- `status`: Status of the event (automatic or reviewed).
- `locationSource`, `magSource`: Source of location and magnitude data.
## Usage
This dataset can be used for various purposes such as earthquake prediction, geological research, understanding the distribution of earthquakes around the world, etc.
## Updates
The dataset will be updated regularly to include the most recent earthquake data from the USGS Earthquake Catalog.
## Contributing
Contributions are welcome. Please feel free to submit a pull request or open an issue.
## License
This project is licensed under the MIT License - see the LICENSE.md file for details.
## Acknowledgements
This dataset is sourced from the USGS Earthquake Catalog. We are grateful to USGS for making this data publicly available. |
Hrishi15/pubchem_molecule_dataset | Hrishi15 | "2024-09-26T08:12:50Z" | 34 | 0 | [
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|
uzair921/WNUT_17_LLM_RAG_75 | uzair921 | "2024-09-26T08:30:11Z" | 34 | 0 | [
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# Dataset Card for "WNUT_17_LLM_RAG_75"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
DLI-Lab/step-wise-eval-description-with-refined-tao-9neg-hj-hard-gpt-4-turbo | DLI-Lab | "2024-09-26T08:30:13Z" | 34 | 0 | [
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argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_f8f7c51f-c880-4fd4-b84c-4bd10c9a460d | argilla-internal-testing | "2024-09-26T08:31:58Z" | 34 | 0 | [
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argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_354e90ef-65ac-4541-99aa-228668b05267 | argilla-internal-testing | "2024-09-26T08:32:19Z" | 34 | 0 | [
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argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_67440115-87ed-4593-946c-bdb30b106e76 | argilla-internal-testing | "2024-09-26T08:32:20Z" | 34 | 0 | [
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argilla-internal-testing/test_import_dataset_from_hub_with_classlabel_8683e9cc-a618-4ca7-9d55-5a39313b3d4e | argilla-internal-testing | "2024-09-26T08:32:26Z" | 34 | 0 | [
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parsi-ai-nlpclass/image-generation-celeba_HQ | parsi-ai-nlpclass | "2024-09-26T08:41:50Z" | 34 | 0 | [
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|
bernddoser/pokemon | bernddoser | "2024-09-26T08:41:33Z" | 34 | 0 | [
"license:apache-2.0",
"region:us"
] | null | "2024-09-26T08:41:33Z" | ---
license: apache-2.0
---
|