File size: 1,847 Bytes
f49712e 64a9c7c f49712e 64a9c7c f49712e 64a9c7c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | ---
license: mit
task_categories:
- text-generation
- question-answering
language:
- en
tags:
- interview
- software-engineering
- chat
- instruction-tuning
size_categories:
- 1K<n<10K
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
---
# Interview Coach Dataset
Chat-format dataset for fine-tuning an AI interview coach on software engineering interview Q&A.
## Dataset Summary
Each example is a single user/assistant turn in OpenAI-style `messages` format, suitable for instruction / chat fine-tuning (e.g. Unsloth, TRL, Hugging Face `SFTTrainer`).
- **Train:** ~1,017 examples
- **Validation:** ~114 examples
- **Total:** ~1,131 examples
- **Split:** 90% / 10% (seeded shuffle)
## Data Structure
```json
{
"messages": [
{"role": "user", "content": "...interview question..."},
{"role": "assistant", "content": "...model answer..."}
]
}
```
| Field | Type | Description |
|-------|------|-------------|
| `messages` | list | Conversation turns |
| `messages[].role` | string | `"user"` or `"assistant"` |
| `messages[].content` | string | Question or answer text |
## Source
Derived from generated interview Q&A (`api_dataset.jsonl`), then shuffled, split, and reformatted for chat fine-tuning.
## Intended Use
Fine-tuning small/medium instruct models to practice answering technical interview questions (APIs, systems design, coding concepts, behavioral, etc.).
## Limitations
- Synthetic / generated content — may contain inaccuracies.
- English only.
- Coverage is uneven across topics and difficulty.
- Not a substitute for real interview feedback.
## Loading
```python
from datasets import load_dataset
ds = load_dataset("shimogerald/interview-coach-dataset")
print(ds["train"][0])
``` |