datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
kapibala-sales-dialogues
Kapibala Sales Dialogues
A sales-conversation dataset with outcome, conversation-level and sentence-level labels
🤗 Hugging Face · Annotation details · 中文
630 synthetic sales conversations (11,688 messages, Chinese and English, five domains) between an LLM-simulated customer and an AI salesperson. Every conversation carries three layers of labels, each produced by a single method across the whole dataset:
L1 — outcome. Did the customer buy, agree to a next step, stay undecided… See the full description on the dataset page: https://huggingface.co/datasets/Thomasgudan/kapibala-sales-dialogues.Gym_Salesman_Dataset
Gym Salesman Dataset
11,997 synthetic gym-membership sales conversations, each labelled SUCCESS or FAILURE.
🔗 Project Links
| Live App — practice against an AI customer | Hugging Face Space |
| Telegram Bot — practice on the go | @ido_salescoach_bot |
| Dataset — 11,997 labelled conversations | elg4/Gym_Salesman_Dataset |
| Data Generation — how the data was built | notebook |
| Recommendation — the embedding retriever | notebook |
Every conversation is a… See the full description on the dataset page: https://huggingface.co/datasets/elg4/Gym_Salesman_Dataset.kapibala-sales-dialogues
Kapibala Sales Dialogues
A sales-conversation dataset with outcome, conversation-level and sentence-level labels
🤗 Hugging Face · Annotation details · 中文
630 synthetic sales conversations (11,688 messages, Chinese and English, five domains) between an LLM-simulated customer and an AI salesperson. Every conversation carries three layers of labels, each produced by a single method across the whole dataset:
L1 — outcome. Did the customer buy, agree to a next step, stay undecided… See the full description on the dataset page: https://huggingface.co/datasets/kapibala-ai/kapibala-sales-dialogues.Salesforce__LLaMA-3-8B-SFR-Iterative-DPO-R-details
Dataset Card for Evaluation run of Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R
Dataset automatically created during the evaluation run of model Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Salesforce__LLaMA-3-8B-SFR-Iterative-DPO-R-details.shared-imagination
Dataset Card for Shared Imagination
This dataset contains the problems used in the paper Shared
Dataset Description
This dataset contains the questions generated for the investigations described in the TMLR paper Shared Imagination: LLMs Hallucinate Alike.
If you want to use this dataset to assess new models, please use the default config (i.e., datasets.load_dataset('Salesforce/shared-imagination')).
This config contains questions for which the four candidate choices… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/shared-imagination.InstruSum
InstruSum
This is the dataset corresponding to our paper "Benchmarking Generation and Evaluation Capabilities of Large Language
Models for Instruction Controllable Summarization".
dataset
The dataset subset contains 100 human-written data examples by us.
Each example contains an article, a summary instruction, a LLM-generated summary, and a hybrid LLM-human summary.
human_eval
This subset contains human evaluation results for the 100 examples in the dataset… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/InstruSum.ffhpt5921-1d1aab-sales-transactions
Sales Transactions
Daily sales transaction records for retail channels.
Overview
Brief description of the dataset, its contents, and intended use.
Governance
This dataset is governed by the Data Platform compliance policy.
License: mit
Owner Team: finance
Classification: internal
Retention Days: 365
Contains PII: No