fix: answer_correctness embedding (explodinggradients#513)

fix: handle edge cases in prompt processing (explodinggradients#374)

Make testgenerator output compatible with evaluate (explodinggradient…

…s#302)

* Changed context from str to List[str] so that it is consistent with
eval. Now output of TestDataset can be used for evaluation.
*  Changed typo in _generate_doc_nodes_map
* Changed TestDataset class to reflect the changes in test set
generation. Drawback is episode_done will be True in all cases as data
is changed at the level above.

chore: pin OpenAI to >1 (explodinggradients#285)

Fix typos in langfuse.ipynb (explodinggradients#237)

fix: remove limit on pydantic 2.0 (explodinggradients#209)

testset generation: bug fixes (explodinggradients#185)

Fixes 

- [x] issues with multi-context question generation  
- [x] Error in doc filtering

Testset generation: documentation (explodinggradients#158)

ZeroDivisionError in context_relevance (explodinggradients#154)

Changed: python3.9/site-packages/ragas/metrics/context_relevance.py",
line 162, in _score_batch

From: `score = min(len(indices) / len(context_sents), 1)`

To: ``` if len(context_sents) == 0:
                        score = 0
                else:
score = min(len(indices) / len(context_sents), 1)```

fixes: explodinggradients#153

Co-authored-by: devtribble <[email protected]>

Fix remap_column_names (explodinggradients#140)

When I try to do the following, I got error:

```python
ds = Dataset.from_dict(
    {
        "question": ["question"],
        "answer": ["answer"],
        "contexts": [["context"]],
    }
)

from ragas import evaluate
from ragas.metrics import Faithfulness

evaluate(dataset =ds, metrics=[Faithfulness(batch_size=1)])
```

```
KeyError: "Column ground_truths not in the dataset. Current columns in the dataset: ['question', 'answer', 'contexts']"
```
But `ground_truths ` is not needed for `Faithfulness` .

This PR is to fix it.