Upon reviewing the initial content snippets from the three files, the following potential issues related to "missing language tags" have been identified in the context of the documents provided. Note that these are initial observations, and a deeper review might reveal more nuanced details.

### Issue 1 - No Explicit Language Tags in README

**Evidence**
```
"QA4MRE dataset was created for the CLEF 2011/2012/2013 shared tasks to promote research in question answering and reading comprehension. The dataset contains a supporting passage and a set of questions corresponding to the passage..."
```

**Description**
The README (first file) description provides an overview of the dataset's purpose and structure. However, there is no explicit mention of language tags or the languages included in the dataset. For datasets comprising text data, especially those serving multilingual purposes like question answering tasks, it's critical to explicitly mention the languages involved to aid in proper utilization and analysis. This omission could hinder the dataset's usability for non-English tasks or in multilingual research scenarios.

### Issue 2 - Python Script Content: Language Present but Not Tagged

**Evidence**
```
"language:\n- ar\n- bg\n- en\n- es\n- ro\nlanguage_creators:\n- found\nlicense:\n- unknown\nmultilinguality:\n- multilingual\n..."
```

**Description**
The third file, which appears to be a configuration or metadata script (possibly for a dataset loader or documentation purpose), lists multiple languages (`ar`, `bg`, `en`, `es`, `ro`) under `language`. While the languages are listed, the context suggests that language tags could be better structured or highlighted to improve clarity. Specifically, the script should enforce a standardized format that clearly denotes each supported language by its standardized language code (which it does) and perhaps offer additional metadata that describes the textual content coverage or specific dialects included. This structure is crucial for datasets that might be used for language models or other NLP tasks where language-specific handling or considerations are necessary.

### Additional Observations
Without access to the entire content of each file, these issues represent an initial analysis focused on missing language tags or language-related metadata. A more thorough examination might require parsing the entire JSON content from the README and deeply inspecting the Python script to ensure compatibility and clarity regarding multilingual support and dataset usage.

For now, these issues suggest a need to explicitly include and document language tags and relevant multilingual information in an accessible and standardized manner across dataset documentation and metadata scripts, especially for datasets designed for NLP tasks.