Upload folder using huggingface_hub
Browse files- README.md +36 -18
- data/calls.csv +0 -0
README.md
CHANGED
|
@@ -6,24 +6,24 @@ task_categories:
|
|
| 6 |
language:
|
| 7 |
- en
|
| 8 |
tags:
|
| 9 |
-
- customer-service
|
| 10 |
- telecom
|
| 11 |
-
- hold-time
|
| 12 |
-
- contact-center
|
| 13 |
- ivr
|
| 14 |
- synthetic-data
|
| 15 |
-
-
|
| 16 |
- mindweave
|
| 17 |
-
- insurance
|
| 18 |
-
- cdr
|
| 19 |
- agent-performance
|
|
|
|
| 20 |
- customer-satisfaction
|
|
|
|
| 21 |
- csat
|
|
|
|
| 22 |
- test-data
|
| 23 |
- workforce-management
|
| 24 |
-
|
|
|
|
|
|
|
| 25 |
size_categories:
|
| 26 |
-
-
|
| 27 |
configs:
|
| 28 |
- config_name: agents
|
| 29 |
data_files: data/agents.csv
|
|
@@ -34,7 +34,9 @@ configs:
|
|
| 34 |
data_files: data/ivr_menu.csv
|
| 35 |
---
|
| 36 |
|
| 37 |
-
# Call Center Records & Agent Performance Dataset
|
|
|
|
|
|
|
| 38 |
|
| 39 |
Call detail records for a simulated insurance company call center with 25 agents
|
| 40 |
handling 35,000 calls over 12 months. Includes IVR menu paths, agent assignments,
|
|
@@ -48,23 +50,39 @@ Ideal for: contact center analytics, workforce management, IVR optimization,
|
|
| 48 |
agent performance dashboards, and customer experience analysis.
|
| 49 |
|
| 50 |
|
| 51 |
-
##
|
| 52 |
|
| 53 |
-
| Table | Rows |
|
| 54 |
-
|-------|------|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 55 |
| agents | 8 |
|
| 56 |
| calls | 19,946 |
|
| 57 |
| ivr_menu | 5 |
|
| 58 |
| **Total** | **19,959** |
|
| 59 |
|
| 60 |
-
|
| 61 |
|
| 62 |
-
|
| 63 |
-
- Parquet (available in full version)
|
| 64 |
-
- SQLite (available in full version)
|
| 65 |
|
| 66 |
## About
|
| 67 |
|
| 68 |
-
Generated by [Mindweave Technologies](https://mindweave.tech)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 69 |
|
| 70 |
-
Browse all datasets: [mindweavetech.gumroad.com](https://mindweavetech.gumroad.com)
|
|
|
|
| 6 |
language:
|
| 7 |
- en
|
| 8 |
tags:
|
|
|
|
| 9 |
- telecom
|
|
|
|
|
|
|
| 10 |
- ivr
|
| 11 |
- synthetic-data
|
| 12 |
+
- contact-center
|
| 13 |
- mindweave
|
|
|
|
|
|
|
| 14 |
- agent-performance
|
| 15 |
+
- call-center
|
| 16 |
- customer-satisfaction
|
| 17 |
+
- customer-service
|
| 18 |
- csat
|
| 19 |
+
- insurance
|
| 20 |
- test-data
|
| 21 |
- workforce-management
|
| 22 |
+
- hold-time
|
| 23 |
+
- cdr
|
| 24 |
+
pretty_name: Call Center Records & Agent Performance Dataset (Free Sample)
|
| 25 |
size_categories:
|
| 26 |
+
- 1K<n<10K
|
| 27 |
configs:
|
| 28 |
- config_name: agents
|
| 29 |
data_files: data/agents.csv
|
|
|
|
| 34 |
data_files: data/ivr_menu.csv
|
| 35 |
---
|
| 36 |
|
| 37 |
+
# Call Center Records & Agent Performance Dataset (Free Sample)
|
| 38 |
+
|
| 39 |
+
> **This is a free sample** with 2,013 rows. The full dataset has **19,959 rows** across 3 tables.
|
| 40 |
|
| 41 |
Call detail records for a simulated insurance company call center with 25 agents
|
| 42 |
handling 35,000 calls over 12 months. Includes IVR menu paths, agent assignments,
|
|
|
|
| 50 |
agent performance dashboards, and customer experience analysis.
|
| 51 |
|
| 52 |
|
| 53 |
+
## Sample tables
|
| 54 |
|
| 55 |
+
| Table | Sample Rows |
|
| 56 |
+
|-------|------------|
|
| 57 |
+
| agents | 8 |
|
| 58 |
+
| calls | 2,000 |
|
| 59 |
+
| ivr_menu | 5 |
|
| 60 |
+
| **Total** | **2,013** |
|
| 61 |
+
|
| 62 |
+
## Full dataset
|
| 63 |
+
|
| 64 |
+
The complete dataset includes all tables with full row counts:
|
| 65 |
+
|
| 66 |
+
| Table | Full Rows |
|
| 67 |
+
|-------|----------|
|
| 68 |
| agents | 8 |
|
| 69 |
| calls | 19,946 |
|
| 70 |
| ivr_menu | 5 |
|
| 71 |
| **Total** | **19,959** |
|
| 72 |
|
| 73 |
+
**Formats included:** CSV, Parquet, SQLite
|
| 74 |
|
| 75 |
+
**[Get the full dataset on Gumroad](https://mindweavetech.gumroad.com)**
|
|
|
|
|
|
|
| 76 |
|
| 77 |
## About
|
| 78 |
|
| 79 |
+
Generated by [Mindweave Technologies](https://mindweave.tech) -- realistic synthetic datasets for developers, QA teams, and data engineers.
|
| 80 |
+
|
| 81 |
+
Every dataset features:
|
| 82 |
+
- Enforced foreign key relationships across all tables
|
| 83 |
+
- Realistic statistical distributions (not uniform random)
|
| 84 |
+
- Temporal patterns (seasonal, time-of-day, day-of-week)
|
| 85 |
+
- Injected anomalies for ML training and anomaly detection
|
| 86 |
+
- Deterministic generation (same seed = same output)
|
| 87 |
|
| 88 |
+
Browse all datasets: [https://mindweavetech.gumroad.com](https://mindweavetech.gumroad.com)
|
data/calls.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|