Upload hardmode_ordered.parquet

add hard mode dataset. Extra-Hard Mode / Non-Randomized Mode (Last but most interesting and striking)
In a separated dataset files This mode takes the exact format shown in this document, without randomization. We fix everything but vary only the update times just like in the above experiment, but turn randomize_mode off .(column: randomize_mode)

This separate dataset consists of 46 of following blocks in a non-randomized order:
Key1: Value_1 Key1: Value_2 ...... Key1: Value_N

Key2: Value_1 Key2: Value_2 ...... Key2: Value_N

....all the way to key46 block

Question:

What is the current value (the last value) for key1 key2....key46?

Result

In this mode, LLMs has more than 50% of chance to confuse the last value with earlier value after only 20–50 updates (fewer than 5–8k tokens, far less than any LLMs' context window).
All models quickly confuse earlier values with the most recent one.
This is the original and most striking test, but we present it separately since performance declines too quickly to allow meaningful ranking across models.
Performance for this mode is also reported in our paper (Figure 4).
This mode is the most striking, as it highlights a fundamental limitation in how LLMs process context—A task that is human infailable.”

hardmode_ordered.parquet

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