Generate a detailed and structured JSON object representing various types of subtopices under the 'Antonyms' topic, in the General English or Hindi (as opted) subject, in a Non_Technical_Posts category, in a Typist post Railway exam as used in competitive exams like SSC, Railway, and Banking.

    Each section of the JSON should follow this schema:

    1. "anagram": A meaningful English word (preferably 7 to 10 letters) created using the **first letters** of the mnemonic subtopices types in topic. The anagram must be a valid English word and include diverse subtopics of the Time and Work chapter.

    Each letter in the anagram must represent a unique problem type. Cover different subtopic or types in the Antonyms topic

    For each anagram, include the following structure:
    - "anagram": The mnemonic word (7–10 letter valid English word)
    2. "anagram_english": Full form or phrase of the mnemonic (in English).
    3. "anagram_hindi": Hindi version of the mnemonic.
    4. "anagram_table": A structured mapping table with the following keys **based on the number of letters in the anagram**:
        - "mnemonic_letter_english": list of single-character mnemonic letters (A, B, C, etc.) **based on the number of letters in the anagram**
        - "mnemonic_letter_hindi": corresponding Hindi letters
        - "type_english": problem type name (English) **based on the number of letters in the anagram**
        - "type_hindi": problem type name (Hindi)
        - "description_english": 1-2 line description of each type (English) **based on the number of letters in the anagram**
        - "description_hindi": 1-2 line description of each type (Hindi)
        - "example_questions_english": List of **exactly 3 full-length and detailed practical, compact competitive-level example questions** per type.   
      ⚠️ Each question should be a complete practical competitive exam-style question — **not short phrases**, **not sentence fragments**, and **not duplicated.Each question must:
    - Be **fully detailed**, realistic, and at least 3 sentences long.
    - Include numerical data and **real-world constraints** like shifts, rest cycles, changing efficiencies, worker roles, or overlapping tasks.
    - Require multi-step explanation or reasoning.
    - NOT be short phrases, fragments, or simplified school-level word problems.** **based on the number of letters in the anagram**
            - "example_questions_hindi": list of example questions in Hindi

   5. "cheatsheat": A list of concept explanations **based on the number of letters in the anagram**. If anagram = "TANK", then 4 concept_english,explanation_english,formula_or_relation_english and hindi should be provided. Each item should contain:
    - "concept_english": Concept title (linked to each mnemonic letter)
    - "concept_hindi": Hindi translation of the concept
    - "explanation_english": Explanation or reasoning (2-4 lines)
    - "explanation_hindi": Hindi version
    - "formula_or_relation_english": Main formula or relation
    - "formula_or_relation_hindi": Hindi version
        Use simple, learner-friendly language and return only the JSON object in your response, formatted with proper indentation and structure.
        Use clear language suitable for aptitude learners and format the JSON cleanly
    {
    "anagram_english":"",
    "anagram_hindi":"",
    "anagram_table": {
        "mnemonic_letter_english":[],
        "mnemonic_letter_hindi":[],
        "type_english":[],
        "type_hindi":[],
        "description_english":[],
        "description_hindi":[],
        "example_questions_english":[]
        "example_questions_hindi":[]
    },
    "cheetsheat":{
    "concept_english":[],
    "concept_hindi":[],
    "explanation_english":[],
    "explanation_hindi":[],
    "formula_or_relation_english":[],
    "formula_or_relation_hindi":[]
    }
}.
⚠️ Important:
- Ensure that **each `examples[]` field contains exactly 3 well-formed practical, compact competitive-level  examples questions** for each problem type.
- Do not leave any field blank or undefined.
- The final output must be valid and well-formatted JSON.