Update README.md

README.md

@@ -90,7 +90,7 @@ Interface of the `process` function:
 * `question`: `Union[List[str], str]`: an input question (str) or a list of input questions (for batched processing)
 * `context`: `Union[List[List[str]], str]`: context(s) to be pruned. This can be either a single string (in case of a singe str question), or a list of lists contexts (a list of contexts per question), with `len(contexts)` equal to `len(questions)`
 *  `title`: `Optional[Union[List[List[str]], str]]`, _default: “first_sentence”_: an optional argument for defining titles. If `title=first_sentence`, then the first sentence of each context is assumed to be the title. If `title=None`, then it is assumed that no titles are provided. Titles can be also passed as a list of lists of str, i.e. titles shaped the same way as contexts. Titles are only used if `always_select_title=True`.
-* `threshold` _(float, $ \in [0, 1]$, default 0.3)_: which threshold to use for context pruning. We recommend 0.3 for more conservative pruning (no performance drop or lowest performance drops) and 0.7 for higher compression, but this value can be further tuned to meet the specific use case requirements.
+* `threshold` _(float, \\(\in [0, 1]\\), default 0.3)_: which threshold to use for context pruning. We recommend 0.3 for more conservative pruning (no performance drop or lowest performance drops) and 0.7 for higher compression, but this value can be further tuned to meet the specific use case requirements.
 * `always_select_title` _(bool, default: True)_: if True, the first sentence (title) will be included into the selection each time the model select a non-empty selection of sentences. This is important, e.g., for Wikipedia passages, to provide proper contextualization for the next sentences.
 * `batch_size` (int, default: 32)
 * `reorder` _(bool, default: False)_: if True, the provided contexts for each question will be reordered according to the computed question-passage relevance scores. If False, the original user-provided order of contexts will be preserved.