derivation
korean-contract-derivation-bench
Korean Contract Derivation Benchmark
A model that derives a discount and a unit-price total without being told to will still return the
VAT-inclusive figure verbatim when asked for the contract amount — and a generic instruction to
"compute the relation" does not fix it. This benchmark isolates that.
The finding
240 synthetic Korean procurement summaries. Half state the contract amount directly among distractor
figures (disambiguate); half state it only as a… See the full description on the dataset page: https://huggingface.co/datasets/ThakiCloud/korean-contract-derivation-bench.DerivationTreeGeocities-Derivations
GeoCities Derived Datasets
This folder contains all the final dataset files derived.
Info
GeoId
GeoIds represent a GeoCities site, not individual page. They take the from of:
STRUCT(country VARCHAR, neighborhood VARCHAR, suburb VARCHAR, id VARCHAR)
Datasets
geocities-full.parquet & geocities-fulluser.parquet
Dataset containing all content related to individual GeoCities sites.
The fulluser one only contains sites in… See the full description on the dataset page: https://huggingface.co/datasets/Bangoose/Geocities-Derivations.adaption-turbulence-derivations-pope
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-turbulence_derivations_pope
This dataset contains mathematical derivations and lecture notes on fluid dynamics, specifically focusing on isotropic turbulence, Reynolds equations, and stationary stochastic processes. The content includes detailed step-by-step expansions of structure functions, mean flow equations, and statistical properties authored primarily by S. B. Pope. Text… See the full description on the dataset page: https://huggingface.co/datasets/darius-adaption/adaption-turbulence-derivations-pope.derivation_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "stringman",
"total_episodes": 3,
"total_frames": 3197,
"total_tasks": 2,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:3"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/naavox/derivation_test.Model_Editing_Derivations