id stringlengths 19 44 | messages listlengths 4 12 | state_supervision listlengths 1 5 | meta dict |
|---|---|---|---|
9422:two_thread_tracking | [
{
"role": "user",
"content": "Convert the following to a fact in the present tense: The company reorganised restructuring their teams"
},
{
"role": "assistant",
"content": "The company is reorganizing its teams."
},
{
"role": "user",
"content": "Also, could you tell me more about the... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9422:two_thread_tracking:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [As... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9422",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
7133:topic_pivot_then_return | [
{
"role": "user",
"content": "Refactor this code to reduce complexity: if ( words.length == 0 ) { return -1; } if ( words.length == 1 ) { return 0; }"
},
{
"role": "assistant",
"content": "if ( words.length <= 1 ) { return words.length - 1; }"
},
{
"role": "user",
"content": "That's ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7133:topic_pivot_then_return:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7133",
"scenario_id": "topic_pivot_then_return",
"scenario_title": "Topic Pivot Then Return",
"scenario_instruction": "Let the conversation briefly pivot to a secondary issue, then return to the original problem in a way that requires preserving the first th... |
8427:early_fact_late_recall | [
{
"role": "user",
"content": "I need a new kitchen hack but I only have a garlic press and want to make dumplings."
},
{
"role": "assistant",
"content": "Using a garlic press to quickly make flour-based dumplings is a great solution. It's quick and doesn't require many tools."
},
{
"role... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8427:early_fact_late_recall:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8427",
"scenario_id": "early_fact_late_recall",
"scenario_title": "Early Fact, Late Recall",
"scenario_instruction": "Introduce a concrete fact, label, preference, or commitment early, then make a later user turn depend on recalling it after at least one dis... |
4113:two_thread_tracking | [
{
"role": "user",
"content": "I'm writing a story about a family's journey to a beach town. Can you suggest a title for it?"
},
{
"role": "assistant",
"content": "Here's a title idea: \"The Sand and the Sea: A Family's Journey to the Beach\""
},
{
"role": "user",
"content": "Interest... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "4113:two_thread_tracking:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [As... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "4113",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
6873:stacked_entities_same_type | [
{
"role": "user",
"content": "The four elements of design include line, color, shape, and form. I need to understand the differences."
},
{
"role": "assistant",
"content": "Great question! The four elements are: line (direction and movement), color (hue, saturation, value), shape (2D outline), a... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "6873:stacked_entities_same_type:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "6873",
"scenario_id": "stacked_entities_same_type",
"scenario_title": "Stacked Similar Entities",
"scenario_instruction": "Introduce multiple similar entities such as two cities, two products, two people, or two tasks, then ask about one using shorthand late... |
5170:two_thread_tracking | [
{
"role": "user",
"content": "What are the main benefits of artificial intelligence in healthcare, particularly around diagnostics and treatment?"
},
{
"role": "assistant",
"content": "Artificial intelligence offers several key benefits in healthcare, especially for diagnostics and treatment. In... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5170:two_thread_tracking:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [As... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5170",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
3495:early_fact_late_recall | [
{
"role": "user",
"content": "What is the chemical formula for water?"
},
{
"role": "assistant",
"content": "The chemical formula for water is H2O, consisting of two hydrogen atoms and one oxygen atom."
},
{
"role": "user",
"content": "Thanks! By the way, what kind of chemical bonds ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3495:early_fact_late_recall:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3495",
"scenario_id": "early_fact_late_recall",
"scenario_title": "Early Fact, Late Recall",
"scenario_instruction": "Introduce a concrete fact, label, preference, or commitment early, then make a later user turn depend on recalling it after at least one dis... |
5185:two_thread_tracking | [
{
"role": "user",
"content": "Here's a dialogue snippet: Agent says we'll cancel your order with a 7-day refund. Customer says that's too slow. Classify this into categories: 1) making or cancelling orders; 2) shipping & delivery; 3) change and return; 4) technical issue with website or app."
},
{
"... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5185:two_thread_tracking:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [As... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5185",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
5369:topic_pivot_then_return | [
{
"role": "user",
"content": "Describe the key differences between shallow and deep neural networks."
},
{
"role": "assistant",
"content": "Shallow neural networks typically have just one or two hidden layers between input and output, while deep neural networks have many more hidden layers. This... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5369:topic_pivot_then_return:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5369",
"scenario_id": "topic_pivot_then_return",
"scenario_title": "Topic Pivot Then Return",
"scenario_instruction": "Let the conversation briefly pivot to a secondary issue, then return to the original problem in a way that requires preserving the first th... |
2430:topic_pivot_then_return | [
{
"role": "user",
"content": "I'm designing a website for independent small business owners to find practical information, advice and support. What would be a good title for it?"
},
{
"role": "assistant",
"content": "Small Business Solutions - For Smart Small Business Owners sounds like a solid ... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "2430:topic_pivot_then_return:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "2430",
"scenario_id": "topic_pivot_then_return",
"scenario_title": "Topic Pivot Then Return",
"scenario_instruction": "Let the conversation briefly pivot to a secondary issue, then return to the original problem in a way that requires preserving the first th... |
5840:same_surface_final_question_new_context | [
{
"role": "user",
"content": "Given the following code, identify the bug and provide the fix: def get_highest_score(scores): return max(scores) scores = [5, 7, 8, 10] highest_score = get_highest_score()"
},
{
"role": "assistant",
"content": "The bug is that get_highest_score() is not being passe... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5840:same_surface_final_question_new_context:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following for... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5840",
"scenario_id": "same_surface_final_question_new_context",
"scenario_title": "Same Surface Final Question, New Context",
"scenario_instruction": "Reshape the earlier history so the final user message keeps nearly the same surface form but now refers to... |
4418:deferred_question_then_answer | [
{
"role": "user",
"content": "I want to train a classification model to classify emails as spam or not-spam using a CSV dataset with 200 emails. But before we start, how would I evaluate the accuracy score of the trained model?"
},
{
"role": "assistant",
"content": "I can help you set up the tra... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "4418:deferred_question_then_answer:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "4418",
"scenario_id": "deferred_question_then_answer",
"scenario_title": "Deferred Question",
"scenario_instruction": "Have the user ask something important early but explicitly postpone the answer while discussing something else, then request the answer lat... |
3531:counterfactual_option_swap | [
{
"role": "user",
"content": "Which iPad Pro model would you recommend for a professional designer who needs a large display and Apple Pencil support for their work?"
},
{
"role": "assistant",
"content": "I'd recommend the iPad Pro 12.9\" for its spacious display and advanced features like Apple... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3531:counterfactual_option_swap:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3531",
"scenario_id": "counterfactual_option_swap",
"scenario_title": "Counterfactual Option Swap",
"scenario_instruction": "Make the earlier context set up one preferred option, then later introduce evidence that flips which option should be recommended, wh... |
9964:late_request_for_summary_of_prior_state | [
{
"role": "user",
"content": "Re-write the following sentence to make it a complete sentence: Making a difference"
},
{
"role": "assistant",
"content": "I am determined to make a difference."
},
{
"role": "user",
"content": "Can you give me a brief example of how you could make a dif... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9964:late_request_for_summary_of_prior_state:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following for... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9964",
"scenario_id": "late_request_for_summary_of_prior_state",
"scenario_title": "Late Summary of Prior State",
"scenario_instruction": "Have the later user ask for a compact summary, recap, or decision based on several earlier details that were introduced... |
5153:late_constraint_reversal | [
{
"role": "user",
"content": "Generate a response to \"What are the main concerns about AI deployment in healthcare?\""
},
{
"role": "assistant",
"content": "The main concerns about AI in healthcare include data privacy and security, algorithmic bias in patient data, lack of transparency in deci... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5153:late_constraint_reversal:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5153",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without f... |
3862:interrupting_followup_chain | [
{
"role": "user",
"content": "Given some planetary positions, calculate the zodiac sign of a person born on October 15th: Sun in Libra, Moon in Aries, Mars in Scorpio"
},
{
"role": "assistant",
"content": "The zodiac sign of a person born on October 15th with the given planetary positions is Lib... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "3862:interrupting_followup_chain:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "3862",
"scenario_id": "interrupting_followup_chain",
"scenario_title": "Interrupting Follow-up Chain",
"scenario_instruction": "Break an otherwise smooth line of reasoning with a short interruption or side question, then resume the original thread cleanly.",... |
9244:two_thread_tracking | [
{
"role": "user",
"content": "Calculate the midpoint between points (3, 4) and (11, 10)."
},
{
"role": "assistant",
"content": "The midpoint is (7, 7). Using the formula: x = (3+11)/2 = 7, y = (4+10)/2 = 7."
},
{
"role": "user",
"content": "Great! Now I also need help with another pr... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9244:two_thread_tracking:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [As... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9244",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
7039:hard_topic_reset | [
{
"role": "user",
"content": "Given two numbers, calculate the sum: 7, 9"
},
{
"role": "assistant",
"content": "The sum of 7 and 9 is 16."
},
{
"role": "user",
"content": "Can you also calculate the difference between those two numbers?"
},
{
"role": "assistant",
"content... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7039:hard_topic_reset:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [Assis... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7039",
"scenario_id": "hard_topic_reset",
"scenario_title": "Hard Topic Reset",
"scenario_instruction": "Make the user abruptly switch to a different topic for one turn, then later return to the original topic. The assistant must not let the temporary switch... |
263:two_thread_tracking | [
{
"role": "user",
"content": "What dietary patterns are most effective for heart health?"
},
{
"role": "assistant",
"content": "The Mediterranean diet with its emphasis on vegetables, whole grains, healthy fats, and moderate fish consumption is widely considered one of the most effective pattern... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "263:two_thread_tracking:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [Ass... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "263",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them toge... |
9714:deferred_question_then_answer | [
{
"role": "user",
"content": "Create a unique greeting using only classic English words."
},
{
"role": "assistant",
"content": "Cheerio and hail! I'll provide more details about your original request later, but first let me explore other classic English greetings."
},
{
"role": "user",
... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9714:deferred_question_then_answer:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9714",
"scenario_id": "deferred_question_then_answer",
"scenario_title": "Deferred Question",
"scenario_instruction": "Have the user ask something important early but explicitly postpone the answer while discussing something else, then request the answer lat... |
7187:two_thread_tracking | [
{
"role": "user",
"content": "Here's a list of animals: Dog, Cat, Ant, Snake, Crocodile. Can you find the outlier?"
},
{
"role": "assistant",
"content": "Looking at the animals, Crocodile is the outlier because it's a reptile while the others are mammals or insects. The crocodile is significantl... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7187:two_thread_tracking:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [As... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7187",
"scenario_id": "two_thread_tracking",
"scenario_title": "Two Thread Tracking",
"scenario_instruction": "Create two interleaved subproblems inside one conversation and ensure the assistant must keep both threads straight rather than collapsing them tog... |
9413:clarify_then_resolve | [
{
"role": "user",
"content": "I'm thinking about launching a new product but I'm not quite sure what I'm working on yet."
},
{
"role": "assistant",
"content": "Product development can vary quite a bit depending on the type of product you're creating. Could you share more specifics about what you... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9413:clarify_then_resolve:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [A... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9413",
"scenario_id": "clarify_then_resolve",
"scenario_title": "Clarify Then Resolve",
"scenario_instruction": "Make the user start vague, then reveal a crucial detail only after clarification. The final answer should depend on the revealed detail rather th... |
5006:late_request_for_summary_of_prior_state | [
{
"role": "user",
"content": "Evaluate the expression 5 + (4 x 10)."
},
{
"role": "assistant",
"content": "5 + (4 x 10) equals 45."
},
{
"role": "user",
"content": "What if we change the numbers to 6 + 2 x 3?"
},
{
"role": "assistant",
"content": "That equals 12. We multi... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "5006:late_request_for_summary_of_prior_state:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following for... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "5006",
"scenario_id": "late_request_for_summary_of_prior_state",
"scenario_title": "Late Summary of Prior State",
"scenario_instruction": "Have the later user ask for a compact summary, recap, or decision based on several earlier details that were introduced... |
8947:late_request_for_summary_of_prior_state | [
{
"role": "user",
"content": "Paraphrase this sentence with different words: \"The choice was between the two options.\""
},
{
"role": "assistant",
"content": "It was a toss-up between the two alternatives."
},
{
"role": "user",
"content": "Okay, can you do the same for the phrase \"... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8947:late_request_for_summary_of_prior_state:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following for... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8947",
"scenario_id": "late_request_for_summary_of_prior_state",
"scenario_title": "Late Summary of Prior State",
"scenario_instruction": "Have the later user ask for a compact summary, recap, or decision based on several earlier details that were introduced... |
9462:late_constraint_reversal | [
{
"role": "user",
"content": "Here is the average temperature data for the last 8 weeks. Make a prediction for next week's average temperature."
},
{
"role": "assistant",
"content": "Based on the trend from the provided data, I predict that the average temperature next week will remain similar t... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "9462:late_constraint_reversal:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: ... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "9462",
"scenario_id": "late_constraint_reversal",
"scenario_title": "Late Constraint Reversal",
"scenario_instruction": "Make the assistant start solving one version of the problem, then add a late user constraint that forces the assistant to adapt without f... |
7213:user_attention_test | [
{
"role": "user",
"content": "I want to discuss circle geometry. Constraint: I only care about calculations where the radius is exactly 5 units."
},
{
"role": "assistant",
"content": "Noted. I will restrict all examples to a radius of 5 units. The area formula is A = πr²."
},
{
"role": "... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "7213:user_attention_test:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [As... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "7213",
"scenario_id": "user_attention_test",
"scenario_title": "User Attention Test",
"scenario_instruction": "Make the user explicitly test whether the assistant was paying attention to an earlier detail or instruction.",
"must_have": [
"The user must... |
8681:hard_topic_reset | [
{
"role": "user",
"content": "Name a famous movie from the 1950s."
},
{
"role": "assistant",
"content": "The African Queen starring Humphrey Bogart and Katharine Hepburn."
},
{
"role": "user",
"content": "What's the weather forecast for Paris tomorrow?"
},
{
"role": "assistan... | [
{
"prefix_pair_index": 1,
"probes": [
{
"id": "8681:hard_topic_reset:transcript_probe:p1",
"family": "canonical_transcript_verbatim",
"question": "What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [Assis... | {
"source_dataset": "ChatAlpaca",
"source_row_id": "8681",
"scenario_id": "hard_topic_reset",
"scenario_title": "Hard Topic Reset",
"scenario_instruction": "Make the user abruptly switch to a different topic for one turn, then later return to the original topic. The assistant must not let the temporary switch... |
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ChatAlpaca Multiturn Enriched Probe
Deterministic transcript-memory probe dataset for Samantha multiturn latent-state pretraining.
Source dataset: BRlkl/chatalpaca-multiturn-enriched
Each conversation keeps the original messages and adds state_supervision with one fixed probe for every prefix after the first user/assistant pair.
Fixed probe question:
What is everything we have talked about so far? Give exact conversation transcript verbatim in following format: [User 1]: X [Assistant 1]: Y [User 2]: A ...
Probe target:
- canonical transcript serialization of all observed dialogue up to the current user turn
- exact format:
[User 1]: ...[Assistant 1]: ...[User 2]: ...- ...
Each probe also includes noop variants via noop_ticks=[0, 64].
Audit
- source rows:
7847 - kept rows:
7847 - rows with fewer than 2 pairs dropped:
0 - total probes:
25523 - mean probes per row:
3.2526 - mean transcript target tokens:
166.6355 - p95 transcript target tokens:
354 - max transcript target tokens:
1711
Pair Count Distribution
2pairs:1583pairs:21044pairs:23535pairs:20626pairs:1170
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