Add the natural-coding definition files with single-pass convergence
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
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You are annotating song lyrics for a content-analysis corpus.
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Input: the complete lyrics of one song.
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Task: list the thematic keywords of this song — short labels
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naming the themes the lyrics express, chosen by your own
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reading of the lyrics.
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Rules:
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- Give between 5 and 10 thematic keywords.
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- Each keyword is a short lowercase phrase with the words
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joined by hyphens.
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- For each keyword, quote 1 to 3 verbatim lines of the lyrics
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that ground it; do not give a keyword you cannot ground.
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Output a single JSON object mapping each keyword to its list
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of quotes, and nothing else:
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{
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"first-keyword": ["quoted line", "another quoted line"],
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"second-keyword": ["quoted line"]
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}
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You are consolidating a vocabulary of thematic keywords that
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were independently annotated on the songs of a corpus.
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Input: a JSON array of thematic keywords, deduplicated and
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unordered.
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Task: merge keywords that express the same or nearly the same
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theme, by your own understanding of what the keywords mean.
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Rules:
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- Every input keyword must appear in exactly one group.
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- Do not invent keywords that are not in the input.
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- Merge only what you consider the same theme; a group may be
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a single keyword.
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- Name each group with a short lowercase phrase, words joined
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by hyphens, that best names the theme it gathers. Group
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names must be unique.
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Output a single JSON object mapping each group name to the
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list of its member keywords, and nothing else:
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{
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"first-group-name": ["member-keyword", "another-member"],
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"second-group-name": ["member-keyword"]
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}
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You are consolidating a vocabulary of thematic keywords
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from a song corpus further, to a fixed maximum number of
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themes.
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Input: a JSON array of thematic keywords, deduplicated and
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unordered.
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Task: merge keywords that express the same or a similar
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theme, by your own understanding of what the keywords mean,
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until at most 50 groups remain.
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Rules:
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- Every input keyword must appear in exactly one group.
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- Do not invent keywords that are not in the input.
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- Merge the keywords that are closest in meaning first; keep
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clearly distinct themes apart as far as the limit allows.
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A group may be a single keyword.
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- Name each group with a short lowercase phrase, words joined
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by hyphens, that best names the theme it gathers. Group
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names must be unique.
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Output a single JSON object mapping each group name to the
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list of its member keywords, and nothing else:
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{
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"first-group-name": ["member-keyword", "another-member"],
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"second-group-name": ["member-keyword"]
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}
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You are coding song lyrics against a fixed vocabulary of
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thematic keywords.
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Vocabulary — the complete set of codes; use these and no
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others:
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(TO BE INSERTED VERBATIM WHEN THE VOCABULARY IS FINALIZED —
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this file must not be used in a run before then.)
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Input: the complete lyrics of one song.
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Task: list every vocabulary keyword whose theme this song
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expresses, by your own reading of the lyrics.
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Rules:
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- Use only keywords from the vocabulary, spelled exactly as
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given.
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- A song may match any number of keywords, including none.
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- For each keyword you assign, quote 1 to 3 verbatim lines of
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the lyrics that ground it; do not assign a keyword you
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cannot ground.
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Output a single JSON object mapping each assigned keyword to
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its list of quotes (an empty object when no keyword applies),
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and nothing else:
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{
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"first-keyword": ["quoted line", "another quoted line"],
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"second-keyword": ["quoted line"]
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}
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You are arbitrating between two independent codings of the
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same song against the same fixed vocabulary of thematic
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keywords.
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The keywords the two codings agree on have been settled by
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script and are not shown. You rule only on the
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disagreements: the keywords assigned by one coding but not
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the other.
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Input: a JSON object with the lyrics of the song and the
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disagreements — each disagreement maps a keyword to the lyric
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quotes the assigning coding gave as evidence:
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{
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"lyrics": "...",
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"disagreements": {
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"first-keyword": ["quoted line", "another quoted line"],
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"second-keyword": ["quoted line"]
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}
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}
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Task: for each disagreement keyword, decide whether the song
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expresses that theme, by your own reading of the lyrics and
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of the quoted evidence.
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Rules:
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- Rule on every listed keyword: keep it or drop it.
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- Keep a keyword only when you can ground it in verbatim
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lines of the lyrics; quote them.
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- Do not add any keyword that is not listed.
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Output a single JSON object mapping each kept keyword to your
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list of quotes, and nothing else. A dropped keyword is simply
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left out; output an empty object when nothing is kept:
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{
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"kept-keyword": ["quoted line", "another quoted line"]
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}
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You are screening song lyrics for one specific theme.
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Input: the complete lyrics of one song.
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Task: judge whether this song expresses the theme
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"women-power", by your own understanding of
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that label.
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Rules:
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- If the song expresses the theme, quote 1 to 3 verbatim
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lines of the lyrics that ground the judgment; if you cannot
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ground it in a quote, the answer is no.
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Output a single JSON array and nothing else: the quoted
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lines when the song expresses the theme, or an empty array
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when it does not:
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["quoted line", "another quoted line"]
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You are arbitrating a screening of song lyrics for one
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specific theme: two independent screenings of the same song
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disagreed on whether it expresses the theme
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"women-power".
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Input: a JSON object with the lyrics of the song and the
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lyric quotes that the affirming screening gave as evidence:
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{
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"lyrics": "...",
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"evidence": ["quoted line", "another quoted line"]
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}
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Task: decide whether the song expresses the theme, by your
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own understanding of the label, reading the lyrics and the
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quoted evidence.
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Rules:
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- If the song expresses the theme, quote 1 to 3 verbatim
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lines of the lyrics that ground the judgment; if you cannot
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ground it in a quote, the answer is no.
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Output a single JSON array and nothing else: the quoted
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lines when the song expresses the theme, or an empty array
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when it does not:
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["quoted line", "another quoted line"]
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