United States Imports of Live animals was US$4.8 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports of Live animals - data, historical chart and statistics - was last updated on June of 2025.

Imports of Plywood & Veneers in the United States decreased to 298.98 USD Million in February from 301.95 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports of Plywood & Veneers.

The ‘Import Monitor’ aggregates detailed license information and makes it available for public analysis on a weekly basis. All imported steel products under the U.S. Bureau of the Census (Census) definition of steel mill products are required to have an import license effective June 9, 20051. The data from the licensing system are used in conjunction with similar Census data to put together the ‘Import Monitor’. This Monitor helps alert users to changes in import patterns. The goal of the Import Monitor is to publish accurate, close to real-time aggregate volume, value, and pricing (average unit values of imports) data on steel imports through an easily accessible website.

0 United States import shipment records of Sheet from Na with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

204139 United States import shipment records of Pp from China with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

The file Calculations.xlsx contains all the raw data used to construct the final dataset, which is saved as dataset.dta. All the regressions are performed using this dataset. The file trade.dta contains data on total US exports and imports and is used to generate Figure 1.

United States Imports from Syria was US$11.18 Million during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from Syria - data, historical chart and statistics - was last updated on June of 2025.

Dataset Card

This dataset contains a single huggingface split, named 'all_samples'. The samples contains a single huggingface feature, named called "sample". Samples are instances of plaid.containers.sample.Sample. Mesh objects included in samples follow the CGNS standard, and can be converted in Muscat.Containers.Mesh.Mesh. Example of commands: import pickle from datasets import load_dataset from plaid.containers.sample import Sample

Load the dataset

dataset =… See the full description on the dataset page: https://huggingface.co/datasets/PLAID-datasets/AirfRANS_original.

1409231 United States import shipment records of Wires with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

This dataset is derived from APIBench dataset by running the following script:

clone gorilla repo

process apibench data and upload as a dataset to hf hub

import json import os

import dotenv import pandas as pd from datasets import Dataset from huggingface_hub import login

dotenv.load_dotenv()

os.system("git clone https://github.com/ShishirPatil/gorilla.git")

login to huggingface

login(os.environ["HF_API_KEY"])

def read_jsonl_as_df(file_path): data = [] with open(file_path… See the full description on the dataset page: https://huggingface.co/datasets/rbiswasfc/APIBench.

Source: U.S. Department of Transportation, Bureau of Transportation Statistics, based upon U.S. Department of Commerce, U.S. Census Bureau, Foreign Trade Division, USA Trade Online, "HS Port-level Data", available at https://usatrade.census.gov/ as of Sept 2024.

822 United States import shipment records of 7226 with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications

This repository contains data for our paper "ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications" and a small utility class to work with it.

  HuggingFace datasets

You can also use Huggin Face datasets to load ACLSum (dataset link). This would be convenient if you want to train transformer models using our dataset. Just do, from datasets import load_dataset dataset =… See the full description on the dataset page: https://huggingface.co/datasets/sobamchan/aclsum.

6165 United States import shipment records of Visors from China with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

Dataset Card for trec-mandarin/trec5

The trec-mandarin/trec5 dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

  Data

This dataset provides:

queries (i.e., topics); count=28

qrels: (relevance assessments); count=15,588

For docs, use irds/trec-mandarin

  Usage

from datasets import load_dataset

queries = load_dataset('irds/trec-mandarin_trec5', 'queries') for record in queries: record #… See the full description on the dataset page: https://huggingface.co/datasets/irds/trec-mandarin_trec5.

2410 United States import shipment records of Agricultural goods with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

1444 Global import shipment records of Household Good with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

18107 United States import shipment records of Digital printing with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.

Imports - Parts, Engines, Bodies & Chassis (Census Basis) in the United States increased to 16976.46 USD Million in February from 16234.39 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports of Parts, Engines, Bodies & Chassis.

Dataset Card for imdb

This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.

  Using this dataset with Argilla

To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code: import argilla as rg

ds = rg.Dataset.from_hub("yanchunwang/imdb"… See the full description on the dataset page: https://huggingface.co/datasets/yanchunwang/imdb.