datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AXXXX_jssp_policy_step_train_dispatch_v1starjobalgorithm_selector_jssp_3algo_1s_featuresAXXXX_jssp_mixed_step_train_dispatch_v1OpenR1-JSSP-ContractV4-10k-seed101NLP524OpenR1-JSSP-ContractV4-10k-seed202OpenR1-JSSP-ContractV4-10k-seed303OpenR1-JSSP-V4-Rebuttal-Eval-v1
OpenR1-JSSP-V4-Rebuttal-Eval-v1
Final JSSP V4 rebuttal package: canonical seed-wise eval roots plus optional local aggregate bundle.
Contents
seed101/job-1735634 <- /workspace/llm-finetuning/.hf_private_staging/OpenR1-JSSP-V4-Rebuttal-Eval-v1/source-0 (required)
seed202/job-1736229 <- /workspace/llm-finetuning/.hf_private_staging/OpenR1-JSSP-V4-Rebuttal-Eval-v1/source-1 (required)
seed303/job-1736231 <-… See the full description on the dataset page: https://huggingface.co/datasets/IDEALLab/OpenR1-JSSP-V4-Rebuttal-Eval-v1.jssp_testjssp-soda-manufacturerHere, we present an overview of the different data types that are needed: the production setting, the product types, the components of each product type, and the order to be scheduled, respectively.
Workstation Sheet
Variable
Description
Type
name
Name of the workstation
String
max_units_per_run
The number of units that can be processed in one run
Integer
minutes_per_run
Time to process one run
Float
minutes_changeover_time_taste
Setup time when flavor changes… See the full description on the dataset page: https://huggingface.co/datasets/albinl/jssp-soda-manufacturer.data_fix_before_jssp_reason_step_train_all_v1algorithm_selector_jssp_generatedjssp_testdata_fix_before_jssp_policy_step_train_all_v1jssp_raw_source_dbjssp_raw_source_v1_originalgorithm_selector_jsspalgorithm_selector_jssp_3algo_1sbefore_jssp_policy_step_train_all_v1algorithm_selector_jssp_300salgorithm_selector_jssp_1sjssp_validation_ta_alldata_fix_before_jssp_policy_step_train_dispatch_v1data_fix_before_jssp_mixed_step_train_dispatch_v1JSSP_LLMjssp_test_1before_jssp_reason_step_train_all_v1AXXXX_jssp_mixed_step_train_all_v1jssp8000
