---
language:
- as
- bn
- en
- gu
- hi
- kn
- ks
- ml
- mr
- or
- pa
- ta
- te
tags:
- scam-detection
- fraud-detection
- text-classification
- indic
- nlp
- synthetic
task_categories:
- text-classification
size_categories:
- 10K<n<100K
license: mit
pretty_name: "Indian Multilingual Scam & Ham SMS Dataset (14 Languages)"
---

# Indian Multilingual Scam & Ham SMS Dataset (14 Languages)

A balanced benchmark dataset of **14,000 text samples** curated for detecting fraud, phishing, and legitimate messages across **14 major Indian languages and scripts**.

## Dataset Summary
- **Total Records:** 14,000 samples
- **Label Split:** Exactly 7,000 Scam / 7,000 Ham (Balanced 50:50 distribution)
- **Languages Covered (1,000 samples each across 14 languages):**
  - Assamese (`as`)
  - Bengali (`bn`)
  - English (`en`)
  - Gujarati (`gu`)
  - Hindi (`hi`)
  - Hinglish (`hi-Latn`)
  - Kannada (`kn`)
  - Kashmiri (`ks` - Perso-Arabic script)
  - Malayalam (`ml`)
  - Marathi (`mr`)
  - Odia (`or`)
  - Punjabi (`pa` - Gurmukhi script)
  - Tamil (`ta`)
  - Telugu (`te`)

---

## Dataset Structure

### Features
| Column | Type | Description |
| :--- | :--- | :--- |
| `text` | string | The full SMS / messaging alert text. |
| `label` | ClassLabel | Target category: `0` (ham) or `1` (scam). |
| `language` | string | Language name (e.g., `Hindi`, `Bengali`, `Odia`, `Hinglish`). |

### Splitting
- **Train:** 12,600 samples (90%)
- **Test:** 1,400 samples (10%)
- Stratified across both classes to preserve exact class balance.

---

## Domain Coverage & Fraud Vectors
The dataset models realistic communication patterns across India:

### 1. Scam Vectors
- **Utility Threats:** Immediate power/electricity cut-off notices demanding urgent phone calls or payment.
- **Banking / KYC Phishing:** Impersonation of major Indian public & private banks (SBI, PNB, HDFC) with fake KYC verification deadlines.
- **Lottery / Scheme Baits:** Government subsidy lures (PM Awas Yojana), prize claims, and work visa processing fee scams.
- **Delivery Frauds:** Fake package delivery delays requesting minor redelivery payments or credential confirmations.

### 2. Ham (Legitimate) Samples
- **Transactional Alerts:** Genuine OTP codes, bank debit/credit balance alerts, and telecom recharge receipts.
- **Official Utility Reminders:** Real-world telecom and broadband billing dates.
- **Conversational Messages:** Everyday peer-to-peer discussions, family updates, and social interactions in native scripts.

---

## Quick Usage

```python
from datasets import load_dataset

dataset = load_dataset("__anmolshrivastav/scam_ham_india_14_languages__")

# Inspect a sample
print(dataset["train"][0])