| --- |
| dataset_info: |
| - config_name: '0_6' |
| features: |
| - name: base name |
| dtype: string |
| - name: testo |
| dtype: string |
| - name: cartella |
| dtype: string |
| - name: tipo |
| dtype: string |
| - name: fonte |
| dtype: string |
| - name: len |
| dtype: int64 |
| - name: __index_level_0__ |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 165005431 |
| num_examples: 88685 |
| download_size: 93360212 |
| dataset_size: 165005431 |
| - config_name: '12_18' |
| features: |
| - name: testo |
| dtype: string |
| - name: cartella |
| dtype: string |
| - name: tipo |
| dtype: string |
| - name: fonte |
| dtype: string |
| - name: base name |
| dtype: string |
| - name: len |
| dtype: int64 |
| - name: __index_level_0__ |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 201901322 |
| num_examples: 54359 |
| download_size: 121962703 |
| dataset_size: 201901322 |
| - config_name: '18_24' |
| features: |
| - name: base name |
| dtype: string |
| - name: testo |
| dtype: string |
| - name: cartella |
| dtype: string |
| - name: tipo |
| dtype: string |
| - name: fonte |
| dtype: string |
| - name: len |
| dtype: int64 |
| - name: __index_level_0__ |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 199425978 |
| num_examples: 20927 |
| download_size: 118320605 |
| dataset_size: 199425978 |
| - config_name: '6_12' |
| features: |
| - name: base name |
| dtype: string |
| - name: testo |
| dtype: string |
| - name: cartella |
| dtype: string |
| - name: tipo |
| dtype: string |
| - name: fonte |
| dtype: string |
| - name: len |
| dtype: int64 |
| - name: __index_level_0__ |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 195072095 |
| num_examples: 34668 |
| download_size: 116023155 |
| dataset_size: 195072095 |
| configs: |
| - config_name: '0_6' |
| data_files: |
| - split: train |
| path: 0_6/train-* |
| - config_name: '12_18' |
| data_files: |
| - split: train |
| path: 12_18/train-* |
| - config_name: '18_24' |
| data_files: |
| - split: train |
| path: 18_24/train-* |
| - config_name: '6_12' |
| data_files: |
| - split: train |
| path: 6_12/train-* |
| --- |
| |
| # 🦌 **BAMBI Dataset** |
|
|
| ## **Dataset Summary** |
|
|
| The **BAMBI Dataset** is an **Italian-language corpus** designed to provide **ecologically valid and cognitively plausible linguistic input** for **BabyLM-style language model training**. |
| It is organized into **four developmental tiers**, corresponding to different phases of linguistic growth in childhood and adolescence: |
|
|
| | Tier | Age Range (years) | Approx. Tokens | Description | |
| | ------ | ----------------- | -------------- | ------------------------------------------ | |
| | Tier 1 | 0–6 | ~26M | Early childhood and preschool exposure | |
| | Tier 2 | 6–12 | ~31M | Primary school and literacy development | |
| | Tier 3 | 12–18 | ~32M | Adolescent linguistic expansion | |
| | Tier 4 | 18–24 | ~31M | Young adult and advanced language exposure | |
|
|
| Each tier reflects age-appropriate linguistic input, curated from authentic Italian sources for ecological validity and developmental plausibility. |
|
|
| --- |
|
|
| ## **Data Composition** |
|
|
| The corpus integrates **transcriptions of oral materials** that mirror the linguistic environment of Italian speakers from early childhood through young adulthood. |
|
|
| ### **Source Types** |
|
|
| * **Entertainment:** audiobooks, TV shows, podcasts, and films |
| * **Educational:** textbooks, didactic materials, and learning media |
| * **News and informational:** simplified news, magazines, and public media |
| * **Caregiver and spontaneous speech:** naturalistic speech and conversational transcriptions |
|
|
| Each document includes metadata indicating: |
|
|
| * **Source type** |
| * **Data origin** |
| * **Intended age tier** |
|
|
| --- |
|
|
| ## **Linguistic Characteristics** |
|
|
| * **Language:** Italian 🇮🇹 |
| * **Register:** naturalistic, age-appropriate, and cognitively plausible speech |
| * **Total tokens:** ~120 million |
| * **Format:** plain text (`.csv`) with detailed metadata |
|
|
| --- |
|
|
| ## **Intended Use** |
|
|
| The BAMBI dataset is intended for: |
|
|
| * Training **BabyLM-style** or other small-scale developmental language models in Italian |
| * **Research on cognitive and linguistic development** |
| * **Curriculum learning** and **ecological modeling** of language acquisition |
|
|
| Not intended for commercial NLP applications. |
|
|
| --- |
|
|
| ## **Ethical Considerations** |
| TBD |
|
|
| ## **Citation** |
| TBD |
|
|
| ## **More about BAMBI** |
| Suozzi, A., Capone, L., Lebani, G. E., & Lenci, A. (2025). BAMBI: Developing Baby Language Models for Italian. arXiv preprint arXiv:2503.09481. |
|
|
| Capone, L., Suozzi, A., Lebani, G. E., & Lenci, A. (2025). BAMBI Goes to School: Evaluating Italian BabyLMs with Invalsi-ITA. In Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025) (pp. 1-12). Università di Cagliari. |
|
|
| Capone, L., Suozzi, A., Lebani, G. E., & Lenci, A. (2024). Babies: A benchmark for the linguistic evaluation of italian baby language models. In Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024) (pp. 157-170). |
|
|
| --- |
|
|
