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Dataset card for v0.2.0

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+ ---
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+ license: cc-by-4.0
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+ pretty_name: Open Misconceptions
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+ language:
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+ - en
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+ tags:
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+ - education
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+ - misconceptions
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+ - learning-analytics
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+ - assessment
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+ size_categories:
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+ - n<1K
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+ configs:
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+ - config_name: default
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+ data_files: miscon.jsonl
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+ ---
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+
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+ # Open Misconceptions
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+
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+ A public catalogue of misconceptions with stable IDs. Each row is one
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+ record: a belief a learner could hold, its kind, the evidence pattern that
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+ reveals it (with a concrete example), discriminators against slips and
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+ neighbouring misconceptions, alignments to external schemes, and
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+ provenance.
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+
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+ This dataset mirrors `dist/miscon.jsonl` from the tagged release of
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+ <https://github.com/open-misconceptions/miscon-data>. The canonical form of a record is
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+ its stable URI, for example
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+ <https://open-misconceptions.github.io/miscon-data/m/math.fractions.add-across>.
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+
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+ ## Provenance caveat
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+
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+ Most records are `status: draft` with `trust: low`: drafted from the cited
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+ literature and not yet reviewed. Check `status`, `trust` and `reviews`
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+ before treating a record as settled. `reviewed` records carry a human
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+ accept or an attested review; `trust` is computed from the reviews against
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+ the repository's reviewer registry.
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+
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+ ## Fields
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+
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+ | Field | Meaning |
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+ |-------|---------|
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+ | `id` | Stable ID (`math.fractions.add-across`). Cite as `miscon:<id>`. |
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+ | `uri` | Stable URI. |
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+ | `uuid` | Opaque identifier; the CASE `CFItem.identifier`. |
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+ | `version`, `status`, `trust` | Record semver; lifecycle (`draft`, `llm-reviewed`, `reviewed`, `deprecated`, `merged`); computed trust (`low`, `medium`, `high`). |
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+ | `title`, `statement`, `notes` | Short label, the belief as the learner holds it, and optional notes such as likely origins. |
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+ | `kind` | Mechanism: overgeneralization, undergeneralization, procedural-bug, notation-confusion, misapplied-analogy. |
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+ | `domain`, `about`, `level_band`, `locale` | Subject, concepts, education levels, language. |
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+ | `evidence_patterns` | List of `{item_shape, signature, example{item, expected, response}}`. |
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+ | `discriminators` | `vs_slip` and `vs{<neighbour-id>: text}`. |
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+ | `relations` | `conflicts_with`, `resolved_by`, and provisional `confusable_with`, `specializes`, `co_occurs_with`, `blocked_by`. |
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+ | `alignments` | `{scheme, code, uri, relation, note}` into CCSS, progmiscon, etc. |
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+ | `provenance` | `{sources[], origin, notes}`. |
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+ | `reviews`, `history`, `license` | Reviews (`kind`, `by`, `date`, `scope`, `verdict`), merge/supersede history and changelog, always `CC-BY-4.0`. |
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+
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+ Full field documentation: <https://github.com/open-misconceptions/miscon-data/blob/main/schema/README.md>.
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+
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+ ## Load
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+
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset("open-misconceptions/miscon-data")
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+ ```
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+
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+ ## Cite
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+
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+ Concept DOI (latest release): https://doi.org/10.5281/zenodo.22416011. Each release also has a version DOI (v0.1.1: https://doi.org/10.5281/zenodo.22416012). Author and title metadata are in `CITATION.cff` in the repository.
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+
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+ ## Licence
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+
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+ CC BY 4.0. Attribute "Open Misconceptions (Vikram Maram and contributors)"
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+ and link to the repository or the record URI.