| # Dataset Card: PISA Multimodal (Parallel & Not-Parallel) | |
| ## Summary | |
| This dataset contains **48 parallel multimodal samples** (paired TXT↔PDF) derived from **PISA studies up to 2012**, plus **47 non-parallel samples** (TXT-only or PDF-only). Each sample may include multiple questions. Content is available in **German** and **English**. | |
| **Source & usage:** Materials are published by the **OECD** and are provided here **for non-commercial use** only. Please verify that your usage complies with OECD terms. | |
| **Quality note:** Some of the **parallel** samples are **noisy** (e.g., OCR artifacts or imperfect alignments). These are **explicitly labeled in the filename** so they can be filtered out during experiments. | |
| ## Organization & Splits | |
| - **`train`** — *parallel* split: 48 samples (TXT and matching PDF). | |
| - **`not_parallel`** — 47 samples where only TXT **or** only PDF is present. | |
| *Note:* In this split, one of `Content` or `PDF` can be `null`. | |
| *(Counts reflect the provided corpus; they may change if you add/remove files.)* | |
| ## Languages | |
| - **German:** `deu_Latn` | |
| - **English:** `eng_Latn` | |
| ## Tasks | |
| - **Reading** comprehension | |
| - **Math** problem solving | |
| ## Data Fields (Columns) | |
| - **`ID`** *(int32)* — Running index of the sample (per build script). | |
| - **`Task Name`** *(string)* — Base name of the material (filename stem before the last underscore), e.g., `Bookshelves`. | |
| - **`PDF`** *(Pdf feature)* — Full PDF object (stored via `datasets.Pdf`). May be `null` in `not_parallel` if missing. | |
| - **`Language`** *(string)* — Language code of the folder, e.g., `deu_Latn` or `eng_Latn`. | |
| - **`Task`** *(string)* — Task category from the folder name: `reading` or `math`. | |
| - **`Content`** *(string)* — Full text from the paired `.txt`. May be `null` in `not_parallel` if missing. | |
| - **`TXT Filename`** *(string)* — Basename of the associated `.txt` file (if present). | |
| - **`PDF Filename`** *(string)* — Basename of the associated `.pdf` file (if present). | |
| ## Source Data & Provenance | |
| - **Origin:** Items compiled from **OECD PISA** materials (≤2012). | |
| - **Structure:** Files are organized by `<language>_<task>` folders, e.g., `german_reading`, `english_math`. | |
| - **Derivation:** Parallel pairs were formed by matching TXT and PDF stems; the `not_parallel` split contains items missing one counterpart. | |
| ## Licensing & Usage | |
| - **License:** *Other / Non-commercial.* The content is published by the **OECD**. Redistribution and use should comply with **OECD non-commercial terms**. This card is not legal advice—please review the official terms for your use case. | |
| ## How to Load | |
| ```python | |
| from datasets import load_dataset | |
| # From the Hub (replace with your repo id) | |
| ds = load_dataset("your-username/your-dataset") | |
| # Parallel split | |
| train = ds["train"] | |
| # Not-parallel split | |
| not_parallel = ds["not_parallel"] | |
| # Example access | |
| row = train[0] | |
| print(row["Task Name"], row["Language"], row["Task"]) | |
| # PDF is a Pdf feature record with a path/bytes: | |
| print(row["PDF"]) | |
| ``` | |
| ## Intended Uses & Limitations | |
| - **Intended:** research on multimodal QA, OCR+NLP, cross-lingual evaluation, dataset tooling. | |
| - **Not intended:** commercial exploitation of OECD content; deployment without verifying rights. | |
| - **Limitations:** Some samples include multiple questions per PDF/TXT; `not_parallel` items are incomplete by design; some parallel items are flagged as **noisy** in filenames. | |
| ## Citation | |
| If you use this dataset, please cite the OECD PISA materials appropriately and reference this dataset card. | |